CN102006473A - Video encoder and encoding method, and video decoder and decoding method - Google Patents
Video encoder and encoding method, and video decoder and decoding method Download PDFInfo
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Abstract
The invention provides a video encoding device comprising a video input module, a background updating module, a background modeling module, a background encoding module, a foreground dividing module, a foreground encoding module and a transmitting module, the video input module is used for inputting video images; the background updating module is used for updating the background in the video images when the background in the video images is changed; the background modeling module is used for establishing a background model according to the background in the updated video images; the background encoding module is used for encoding the background model so as to obtain a background code stream; the foreground dividing module is used for dividing the foreground region in the video images according to the input video images and the background model; the foreground encoding module is used for encoding the obtained foreground region so as to obtain a foreground code stream; and the transmitting module is used for respectively transmitting the background code stream and the foreground code stream.
Description
[technical field]
The present invention relates to field of video compression, particularly relate to a kind of video encoder and coding method and Video Decoder and coding/decoding method.
[background technology]
Along with multimedia application more and more widely, video technique also is applied in growing field, as video conference, video monitoring etc.Because the data volume of video is very big, can take too much broadband resource in transmission course, and produce very big time delay.Therefore, the encoding compression technology of video has been proposed to overcome the problem that the video data volume takies broadband resource and time delay.
Video coding and transmission technology develop into today, have had a lot of coded systems and standard.But, also do not have a kind of coded system and standard to design at static camera.In actual applications, in a lot of video acquisition transmission systems, camera all is static.Such as, video conference and video monitoring etc.Video monitoring particularly, in recent years, video monitoring has been obtained tremendous development, and the laying amount of camera sharply increases.The increase of camera number has brought an important problem, and that is exactly the transmission and the storage of video.Adopt traditional coded system, in order to reach very low code check, picture quality is often compressed can't stand, and simultaneously, code check is inreal to be reduced, and causes the waste of resource.Simultaneously, in video, often important target limits, and existing method does not have yet and can distinguish image-region, gives prior target with higher Data Rate Distribution.
Therefore being necessary to propose a kind of new technical scheme solves the problems referred to above.
[summary of the invention]
The purpose of this part is to summarize some aspects of embodiments of the invention and briefly introduces some preferred embodiments.In this part and the application's specification digest and denomination of invention, may do a little simplification or omit avoiding the making purpose of this part, specification digest and denomination of invention fuzzy, and this simplification or omit and can not be used to limit the scope of the invention.
One of purpose of the present invention is to provide a kind of video encoder and coding method, its with background and prospect separately, under the constant situation of background, a transmission primaries background, thereby when video transmission, can reduce the occupancy in broadband greatly.
Two of purpose of the present invention is to provide a kind of Video Decoder and method, and it utilizes the method based on blending that prospect and background are merged stack, has well reduced original video image.
According to an aspect of the present invention, the invention provides a kind of video encoder, it comprises: video input module, inputted video image; The background in the new video image more when context update module, change of background in described video image; The background modeling module is set up background model according to the background in the described video image that upgrades; The background coding module is encoded to obtain the background code stream to described background model; The foreground segmentation module is partitioned into foreground area in the described video image according to the video image and the described background model of input; The prospect coding module is encoded to obtain the prospect code stream to the foreground area that obtains; Transport module transmits described background code stream and prospect code stream respectively.
Further, described transport module comprises background image transport module and foreground image transport module, and described background is stated the background code stream after image transmission module is used for transfer encoding, and described foreground image transport module is used for the prospect code stream after the transfer encoding.
Further, described method based on the max-flow dividing method comprises: the Gauss model that obtains the color component of each background pixel in the serial background image; Pixel in the video image and background image are carried out pixel value difference, to described difference greater than the pixel of threshold value then as foreground pixel; Obtain the mixed Gauss model of the color component of described foreground pixel; Adopt the described mixed Gauss model of the described Gauss model of background and prospect to calculate the probability that all pixels in the video image belong to prospect or background, obtain after the normalization this pixel corresponding node in the drawings respectively with the energy that is connected of prospect and background node; Described video image is asked horizontal edge intensity and vertical edge intensity between its neighbor respectively; Obtain at the energy that is connected between pixel described in the video image and neighbor according to the horizontal edge intensity of each pixel and neighbor and vertical edge intensity; According to all internodal connection energy that obtain, adopt the max-flow dividing method to carry out smallest partition, obtain prospect and background pixel in the described video image.
Further, described prospect coding module is encoded to form the prospect code stream to the binary mask of effective macro block in the foreground area and identical foreground area, wherein said binary mask is used for identifying which position of video image and belongs to foreground area, each pixel that belongs to prospect is marked as 1 on the mask, otherwise is labeled as 0; Effective macro block acquisition methods in the described foreground area is: obtain its minimum boundary rectangle according to the binary mask of foreground area; image-region in the described boundary rectangle is divided into foursquare macro block; if comprise foreground pixel in the macro block then judge that this macro block is effective macro block; need coding; otherwise be judged to be invalid macro block, do not encode.
Further, described prospect coding module is encoded to the effective macro block in the foreground area and is comprised: to effective foreground macro block of first frame appearance, order according to macro block is handled successively, described macro block is carried out discrete cosine transform, and discrete cosine transform coefficient quantized, adopt the differential coding mode that discrete cosine transform coefficient is predicted, and then carry out entropy coding; Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out discrete cosine transform, carry out entropy coding after its discrete cosine transform coefficient is quantized.
Further, described prospect coding module is encoded to the binary mask of foreground area and is comprised: the boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise be masked as 0, adopt the entropy coding mode to encode the sign of each macro block, and form the code stream transmission with the macroblock coding result.
The present invention also provides a kind of method for video coding, and it comprises: inputted video image; When the change of background of described video image, upgrade its background; The background of described renewal is set up background model and described background model is encoded to obtain the background code stream; Be partitioned into the foreground area in the described video image and described foreground area encoded to obtain the prospect code stream according to described video image and described background model; Transmit described background code stream and prospect code stream respectively.
Further, utilize the max-flow dividing method that the foreground area in the described video image is cut apart, it comprises: the Gauss model that obtains the color component of each background pixel in the serial background image; Pixel in the video image and background image are carried out pixel value difference, to described difference greater than the pixel of threshold value then as foreground pixel; Obtain the mixed Gauss model of the color component of described foreground pixel; Adopt the described mixed Gauss model of the described Gauss model of background and prospect to calculate the probability that all pixels in the video image belong to prospect or background, obtain after the normalization this pixel corresponding node in the drawings respectively with the energy that is connected of prospect and background node; Described video image is asked horizontal edge intensity and vertical edge intensity between its neighbor respectively; Obtain at the energy that is connected between pixel described in the video image and neighbor according to the horizontal edge intensity of each pixel and neighbor and vertical edge intensity; According to all internodal connection energy that obtain, adopt the max-flow dividing method to carry out smallest partition, obtain prospect and background pixel in the described video image.
Further, the binary mask of effective macro block in the foreground area and identical foreground area is encoded to obtain the prospect code stream, wherein said binary mask is used for identifying which position of video image and belongs to foreground area, each pixel that belongs to prospect is marked as 1 on the mask, otherwise is labeled as 0; Effective macro block acquisition methods in the described foreground area is: obtain its minimum boundary rectangle according to the binary mask of foreground area; image-region in the described boundary rectangle is divided into foursquare macro block; if comprise foreground pixel in the macro block then judge that this macro block is effective macro block; need coding; otherwise be judged to be invalid macro block, do not encode.
Further, effective macro block in the foreground area encoded comprise: effective foreground macro block that first frame is occurred, order according to macro block is handled successively, described macro block is carried out discrete cosine transform, and discrete cosine transform coefficient quantized, adopt the differential coding mode that discrete cosine transform coefficient is predicted, and then carry out entropy coding; Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out discrete cosine transform, carry out entropy coding after its discrete cosine transform coefficient is quantized.
Further, the binary mask of identical foreground area encoded comprise: the boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise be masked as 0, the sign employing entropy coding mode of each macro block is encoded.
Further, the coding result of the binary mask of the foreground area of effective macroblock encoding result and correspondence in the foreground area is formed code stream to transmit.
According to a further aspect in the invention, the invention provides a kind of Video Decoder, it comprises: parser modules, the code stream that receives is resolved, and the background code stream after will resolving and prospect code stream are separately; The background decoder module if receive the background code stream after the parsing then it is decoded with background image updating, otherwise does not process; The prospect decoder module obtains the foreground area number the prospect code stream after resolving, and obtains coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of each foreground area; The video synthesis module, obtain the background image of present image, arrive the upper left corner of foreground area according to the boundary rectangle coordinate setting of each foreground area, according to the order identical with coding, whether the foreground macro block of judging macro block correspondence in the boundary rectangle is effective macro block, if be invalid macro block then jump to next macro block and handle, otherwise read effective macroblock encoding information, obtain discrete cosine transform coefficient after the decoding, recover residual image, from last two field picture, find its coupling macro block, recover the current macro image, just like that you cross current macroblock image and cover correspondence position on the present image; Or effective macro block is added on the background image.
Further, described former frame image is the former frame image after the video decoder decodes.
The present invention also provides a kind of video encoding/decoding method, and it comprises: the code stream that receives is resolved, and the background code stream after will resolving and prospect code stream are separately; If receive the background code stream after the parsing then it is decoded with background image updating, otherwise do not process; Obtain the foreground area number the prospect code stream after resolving, and obtain coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of each foreground area; Obtain the background image of present image, arrive the upper left corner of foreground area according to the boundary rectangle coordinate setting of each foreground area, according to the order identical with coding, whether the foreground macro block of judging macro block correspondence in the boundary rectangle is effective macro block, if be invalid macro block then jump to next macro block and handle, otherwise read effective macroblock encoding information, obtain discrete cosine transform coefficient after the decoding, recover residual image, from last two field picture, find its coupling macro block, recover the current macro image, just like that you cross current macroblock image and cover correspondence position on the present image; Or effective macro block is added on the background image.
Further, described former frame image is the former frame image after the video decoder decodes.
Compared with prior art, video encoder is for the video coding of camera static scene among the present invention, adopt foreground segmentation algorithm separation prospect from background, the background that does not change is only transmitted once, and the foreground area that comprises important content is carried out coding transmission.For with prospect and cleaner the cutting apart of background, described video encoder has adopted the method for cutting apart based on max-flow, can be meticulousr obtain segmenting edge.In addition, in order better to obtain the quality of composograph, Video Decoder adopts the method based on blending that prospect and background are merged stack.Because background does not need to transmit background image when constant, thereby greatly reduces the broadband occupancy when video transmission.
[description of drawings]
In order to be illustrated more clearly in the technical scheme of the embodiment of the invention, the accompanying drawing of required use is done to introduce simply in will describing embodiment below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.Wherein:
Fig. 1 is a kind of video encoder structural representation in one embodiment among the present invention;
The flow chart of the foreground segmentation algorithm that Fig. 2 is cut apart based on max-flow in one embodiment for the present invention;
Fig. 3 is a kind of method for video coding flow chart in one embodiment among the present invention;
Fig. 4 is a kind of Video Decoder structural representation in one embodiment among the present invention;
Fig. 5 is a kind of video encoding/decoding method flow chart in one embodiment among the present invention.
[embodiment]
Detailed description of the present invention is mainly come the running of direct or indirect simulation technical solution of the present invention by program, step, logical block, process or other symbolistic descriptions.Be the thorough the present invention that understands, in ensuing description, stated a lot of specific detail.And when not having these specific detail, the present invention then may still can realize.Affiliated those of skill in the art use these descriptions herein and state that the others skilled in the art in affiliated field effectively introduce their work essence.In other words, be the purpose of the present invention of avoiding confusion, because the understanding easily of method of knowing and program, so they are not described in detail.
Alleged herein " embodiment " or " embodiment " are meant special characteristic, structure or the characteristic that can be contained at least one implementation of the present invention.Different in this manual local " in one embodiment " that occur not are all to refer to same embodiment, neither be independent or optionally mutually exclusive with other embodiment embodiment.In addition, represent the sequence of modules in method, flow chart or the functional block diagram of one or more embodiment and revocablely refer to any particular order, also be not construed as limiting the invention.
The invention provides a kind of video encoder, it is divided into video image background and prospect and carries out coding transmission respectively, and when context update the transmission primaries background image, and when background is not upgraded, do not carry out the transmission of background image.The concrete structure of described video encoder can be referring to shown in Figure 1.
Fig. 1 is video encoder structural representation in one embodiment among the present invention.See also shown in Figure 1ly, described video encoder 100 comprises video input module 110, context update module 120, background modeling module 130, background coding module 140, foreground segmentation module 150, prospect coding module 160 and transport module 170.Described video encoder 100 adopts foreground segmentation algorithm separation prospect from background for the video coding of camera static scene, the background that does not change is only transmitted once or several, and the foreground region image that comprises important content is carried out coding transmission.
Described video input module 110 is used to import the video image that needs coding transmission, and described video image can also can be many continuous video images for individual.
Described context update module 120 background in the new video image more then when the change of background of described video image.In actual applications, the first time during inputted video image then with its initial background as the first time context update handle, next detect video image background whether variation taken place, then upgrade the background of a video image if change.
Background after 130 pairs of described video images of described background modeling module upgrade is carried out background modeling to obtain background model.Described background is a motionless relatively part of video image midium or long term, as in video monitoring, and long-term motionless relatively part such as the number in the monitoring camera visual field, house, street.Corresponding, in concrete the application, described background modeling module 130 is then carried out modeling to the initial background image when video image is imported for the first time, then the background after upgrading is being carried out modeling behind the context update.
140 pairs of described background models of described background coding module are encoded.
In one embodiment, a series of background images for the needs transmission can adopt I frame P frame mode that background image is encoded.At first, background image in first two field picture that obtains transmits after encoding as the I frame, and the follow-up background that obtains is handled transmission as the P frame, in the I frame, find the macro block that each macro block mates most in the adjacent subsequent frame (being the subsequent P frame) of time with it in the corresponding hunting zone, then difference is done to obtain one group of difference value vector in the position of each corresponding in each macro block in the I frame and follow-up P frame macro block, described difference value vector is all carried out DCT(Discrete Cosine Transform, be discrete cosine transform) conversion, and to its quantification back Vector Groups of order composition according to original macro block, described Vector Groups is transmitted through behind the entropy coding.General, because change of background is very little, so the code stream of above-mentioned P frame is very low, because under the static situation of video camera, common background image is stablized constant, and the method for above-mentioned definite coupling macro block can directly select for use the macro block of correspondence position to get final product with the macro block as the P frame in the I frame.
Certainly, above-mentionedly only told about a kind of background Methods for Coding, described background coding module 140 can also be encoded to background image by other method, its specific implementation can be passed through software, hardware or the way of hardware and software combination realization coding to background model, the implementation method of wherein said dct transform and entropy coding belongs to all that those of ordinary skill in the field can both realize, and not as important technology scheme of the present invention, so just described in detail no longer one by one.
Described foreground segmentation module 150 is partitioned into foreground area in the described video image according to the video image and the described background model of input.Described prospect is the moving target in the image, i.e. moving target in the image is with respect to background part more importantly in the video.
Because it is important with respect to the information of prospect, so can adopt the higher coded system of quality comes described prospect is encoded, and background is owing to be in constant state for a long time, in constant, only need the transmission primaries background to get final product, so the present invention selects prospect and background are separated coding and transmission.
Described foreground segmentation module 150 is in order to split prospect better from background, minimizing prospect and background edge place unsmooth, the method of foreground segmentation module 150 has a lot, and the method for existing extraction prospect is such as background subtraction method, mixed Gauss model method and Density Estimator method.But described method is not utilized the area information of image, thereby makes the poor effect that the edge of the juncture area of prospect and background is cut apart.Here can adopt a better method, promptly cut apart the method for (graph-cut) based on max-flow.
In one embodiment, the method for utilizing max-flow to cut apart is carried out foreground segmentation to image.It specifically can be referring to shown in Figure 2, the flow chart of the foreground segmentation algorithm that Fig. 2 is cut apart based on max-flow in one embodiment for the present invention.The described foreground segmentation algorithm of cutting apart based on max-flow comprises:
It is pointed out that when the context update in the video image and need upgrade to guarantee that the background image that step 210 is obtained is a latest image background.
This method has not only utilized the difference between prospect and the background to cut apart prospect, and, also utilized the color model of prospect and background area, and the marginal information of prospect and background on the image, thereby can access better segmentation effect.And all pixels in the foreground image can be labeled as identical numeral according to said method, as 1, and all pixels in the background image be labeled as identical numeral, as 0, just obtained the binary mask that to discern foreground image areas like this.That is to say that described binary mask is identical with the image size, the binary value of each location of pixels has identified whether pixel belongs to prospect in this image, if pixel belongs to prospect, then is 1 to value that should pixel on the mask then, otherwise is 0.
The prospect that described prospect coding module 160 goes out described foreground segmentation is encoded to be used for transmission.For foreground area is carried out high-quality coding, the present invention encodes to form the prospect code stream to the binary mask of effective macro block in the foreground area and identical foreground area.
Effective macro block acquisition methods of its described foreground area is specially: the binary mask of foreground area is obtained its minimum boundary rectangle, image-region in the described minimum boundary rectangle is divided into fixed-size macro block, if comprised foreground pixel in the macro block, think that then this macro block is effective, need coding, otherwise think that the pixel in this macro block is background pixel, invalid, do not encode; The above-mentioned macro block of coding that needs is formed a macro block vector in order, can adopt the zig-zag method for scanning to determine order.
Described macro block can be the square of N * N, and as being set at 8 * 8 or 16 * 16 macro block, the setting of described macroblock size is the convenience for follow-up DCT coding.
In one embodiment, described prospect coding module carries out Methods for Coding to the effective macro block in the foreground area and comprises: to effective foreground macro block of first frame appearance, order according to macro block is handled successively, described macro block is carried out dct transform, and the DCT coefficient quantized, adopt the differential coding mode that the DCT coefficient is predicted, and then carry out entropy coding; Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out dct transform, will carry out entropy coding behind its DCT coefficient quantization.
Described prospect coding module carries out Methods for Coding to the binary mask of foreground area and comprises: the boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise be masked as 0, the sign employing entropy coding mode of each macro block is encoded.
The data that indicate on the binary mask of described prospect coding module 160 with effective macroblock encoding result and correspondence in the described foreground area are formed code stream to be used for transmission.
Like this, avoided prospect at each video image to change and background when not changing to the transmission of background area, simultaneously,, also utilize inter-frame information that redundant information is got rid of for foreground area, reduced code check.
The image of the foreground area that background image behind the coding that 170 pairs of described background coding modules 140 of described transport module obtain and prospect coding module 160 obtain transmits.Described transport module 170 comprises background image transport module 1701 and foreground image transport module 1702, background code stream behind the coding that 1701 pairs of background coding modules 140 of wherein said background image transport module obtain transmits, and the prospect code stream behind the coding that 1702 pairs of prospect coding modules 160 of described foreground image transport module obtain transmits.
In actual applications, 1702 pairs of background code streams of described background image transport module 1701 and foreground image transport module and prospect code stream transmit respectively.Because background image is in long-term under the constant situation, described background image transport module 1701 at this moment between the interior transmission primaries background code stream of section.
In sum, video encoder among the present invention separates background and prospect, and utilize the edge segmentation effect that has improved prospect and background juncture area based on the max-flow dividing method, and prospect carried out higher-quality coding, and to background nearly transmission primaries background when constant, thereby improved the compression quality of video, and reduced the occupancy of the video of transmission widely the broadband.
Fig. 3 is a kind of method for video coding flow chart in one embodiment among the present invention, sees also shown in Figure 3ly, and described method for video coding comprises:
Step 310, inputted video image, described video image can also can be many continuous video images for individual.
Step 320 is set up background model according to described video image, when the background in the described video image changes, and update background module then.
Step 330 is cut apart foreground image according to video image and background model.
In order better prospect to be split from background, minimizing prospect and background edge place unsmooth, method to the foreground segmentation of image has a lot, and the method for existing extraction prospect is such as background subtraction method, mixed Gauss model method and Density Estimator method.But described method is not utilized the area information of image, thereby makes the poor effect that the edge of the juncture area of prospect and background is cut apart.Here can adopt a better method, promptly cut apart the method for (graph-cut) based on max-flow.The method that described max-flow is cut apart specifically can be referring to shown in Figure 2, and its content is described in detail in above-mentioned part, so just no longer described here.
Step 340 is encoded to background model and foreground image respectively.
In one embodiment, when background model was encoded, a series of background images for the needs transmission can adopt I frame P frame mode that background image is encoded.At first, background image in first two field picture that obtains transmits after encoding as the I frame, and the follow-up background that obtains is handled transmission as the P frame, in the I frame, find the macro block that each macro block mates most in the adjacent subsequent frame (being the subsequent P frame) of time with it in the corresponding hunting zone, then difference is done to obtain one group of difference value vector in the position of each corresponding in each macro block in the I frame and follow-up P frame macro block, described difference value vector is all carried out DCT(Discrete Cosine Transform, be discrete cosine transform) conversion, and to its quantification back Vector Groups of order composition according to original macro block, described Vector Groups is transmitted through behind the entropy coding.General, because change of background is very little, so the code stream of above-mentioned P frame is very low, because under the static situation of video camera, common background image is stablized constant, and the method for above-mentioned definite coupling macro block can directly select for use the macro block of correspondence position to get final product with the macro block as the P frame in the I frame.
Can pass through said process software, hardware or way of hardware and software combination realize the coding to background model, the implementation method of wherein said dct transform and entropy coding belongs to all that those of ordinary skill in the field can both realize, and not as important technology scheme of the present invention, so just described in detail no longer one by one.
In another embodiment, when foreground area was encoded, for foreground area is carried out high-quality coding, the present invention encoded to form the prospect code stream to the binary mask of effective macro block in the foreground area and identical foreground area.
Effective macro block acquisition methods of its described foreground area is specially: the binary mask of foreground area is obtained its minimum boundary rectangle, image-region in the described minimum boundary rectangle is divided into fixed-size macro block, if comprised foreground pixel in the macro block, think that then this macro block is effective, need coding, otherwise think that the pixel in this macro block is background pixel, invalid, do not encode; The above-mentioned macro block of coding that needs is formed a macro block vector in order, can adopt the zig-zag method for scanning to determine order.
Described macro block can be the square of N * N, and as being set at 8 * 8 or 16 * 16 macro block, the setting of described macroblock size is the convenience for follow-up DCT coding.
In one embodiment, described prospect coding module carries out Methods for Coding to the effective macro block in the foreground area and comprises: to effective foreground macro block of first frame appearance, order according to macro block is handled successively, described macro block is carried out dct transform, and the DCT coefficient quantized, adopt the differential coding mode that the DCT coefficient is predicted, and then carry out entropy coding; Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out dct transform, will carry out entropy coding behind its DCT coefficient quantization.
Described prospect coding module carries out Methods for Coding to the binary mask of foreground area and comprises: the boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise be masked as 0, the sign employing entropy coding mode of each macro block is encoded.
The data that indicate on the binary mask with effective macroblock encoding result and correspondence in the described foreground area are formed code stream to be used for transmission at last.
Like this, avoided prospect at each video image to change and background when not changing to the transmission of background area, simultaneously,, also utilize inter-frame information that redundant information is got rid of for foreground area, reduced code check.
Step 350, background code stream and the prospect code stream after the transfer encoding respectively.
The present invention also provides a kind of Video Decoder, and it will connect the code stream analyzing that searches out and become background code stream and prospect code stream, and respectively it is decoded and be reduced into original image.It specifically can be referring to shown in Figure 4.
Fig. 4 is a kind of Video Decoder structural representation in one embodiment among the present invention.Described Video Decoder 400 comprises parsing module 410, background decoder module 420, prospect decoder module 430 and video synthesis module 440.
Code stream after 410 pairs of code streams that receive of described parsing module are resolved and will be resolved is divided into background code stream and prospect code stream.
If described background decoder module 420 receives the background code stream after the parsing then it is decoded with background image updating, if do not receive the background code stream after the parsing then do not process.
In one embodiment, when receiving the I frame data, 420 of described background decoder modules adopt the decoder of I frame that it is decoded, and note.If what receive is the P frame data, then recovers the residual image of its DCT coefficient correspondence, and from the I frame, obtain the coupling macroblock image, the reduction original video image.
Prospect code stream after 430 pairs of parsings that receive of described prospect decoder module is decoded.
Concrete, obtaining foreground features the prospect code stream of described prospect decoder module 430 after resolving, described foreground features comprises coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of foreground area number, each foreground area.From macroblock coding information, recover the information of each macro block respectively.Send above-mentioned foreground area number, foreground area boundary rectangle coordinate, foreground area macroblock coding information, foreground area macro block validity flag and background image to video synthesis module 440.
Described video synthesis module 440 synthesizes decoded background image and foreground image to obtain original image.
In actual applications, its synthetic being specially: setting up present image is background image; The foreground area of 440 pairs of existence of video synthesis module is handled respectively: arrive the foreground area upper left corner according to boundary rectangle coordinate setting, according to the order identical with coding, macro block in the boundary rectangle is carried out following processing respectively: whether the foreground macro block of obtaining the current macro correspondence effective marker, if macro block is invalid, then jump to and handle next macro block, otherwise read effective macroblock encoding information, decoding obtains the DCT coefficient, recover residual image, from prior image frame, find its coupling macro block, recover the current macro image; The current macro image is covered correspondence position on the present image.
A kind of better method is to adopt the method for blending, and effective macro block background image that is added to is got on.Thereby the feasible image that obtains is true nature more, can not leave a trace in prospect and background intersection.
When mating with video encoder, adopt Video Decoder to recover image with as the coupling macroblock image, rather than adopt and go up two field picture, thus the raising coding efficiency.
In sum, the present invention utilizes corresponding composition algorithm that prospect and background image are synthesized or utilizes the blending method that prospect is added on the image, thereby has avoided prospect and background intersection to leave a trace.
Fig. 5 is a kind of video frequency decoding method flow chart in one embodiment among the present invention, sees also shown in Figure 5ly, and described video decode comprises:
Step 510 is resolved with generation background code stream and prospect code stream the code stream that receives.
Step 520 is decoded to background code stream and prospect code stream respectively.
In concrete the application, if receive the background code stream after the parsing then it is decoded with background image updating, if do not receive the background code stream after the parsing then do not process.In one embodiment, when receiving the I frame data, then adopt the decoder of I frame that it is decoded, and note.If what receive is the P frame data, then recovers the residual image of its DCT coefficient correspondence, and from the I frame, obtain the coupling macroblock image, the reduction original image.
In another embodiment, obtain the foreground area number the prospect code stream after resolving, and obtain coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of each foreground area.From macroblock coding information, recover the information of each macro block respectively.Send above-mentioned foreground area number, foreground area boundary rectangle coordinate, foreground area macroblock coding information, foreground area macro block validity flag and background image to the video synthesis module.
Step 530 is synthesized decoded background image and foreground image.
In actual applications, its synthetic being specially: setting up present image is background image; The foreground area that exists is handled respectively: arrive the foreground area upper left corner according to boundary rectangle coordinate setting, according to the order identical with coding, macro block in the boundary rectangle is carried out following processing respectively: whether the foreground macro block of obtaining the current macro correspondence effective marker, if macro block is invalid, then jumps to and handle next macro block, otherwise read effective macroblock encoding information, decoding obtains the DCT coefficient, recover residual image, from prior image frame, find its coupling macro block, recover the current macro image; The current macro image is covered correspondence position on the present image.
A kind of better method is to adopt the method for blending, and effective macro block background image that is added to is got on.Thereby the feasible image that obtains is true nature more, can not leave a trace in prospect and background intersection.
In sum, the present invention utilizes corresponding composition algorithm that prospect and background image are synthesized or utilizes the blending method that prospect is added on the image, thereby has avoided prospect and background intersection to leave a trace.
Above-mentioned explanation has fully disclosed the specific embodiment of the present invention.It is pointed out that and be familiar with the scope that any change that the person skilled in art does the specific embodiment of the present invention does not all break away from claims of the present invention.Correspondingly, the scope of claim of the present invention also is not limited only to previous embodiment.
Claims (16)
1. video encoder is characterized in that it comprises:
Video input module, inputted video image;
The background in the new video image more when context update module, change of background in described video image;
The background modeling module is set up background model according to the background in the described video image that upgrades;
The background coding module is encoded to obtain the background code stream to described background model;
The foreground segmentation module is partitioned into foreground area in the described video image according to the video image and the described background model of input;
The prospect coding module is encoded to obtain the prospect code stream to the foreground area that obtains; With
Transport module transmits described background code stream and prospect code stream respectively.
2. video encoder according to claim 1, it is characterized in that: described transport module comprises background image transport module and foreground image transport module, described background is stated the background code stream after image transmission module is used for transfer encoding, and described foreground image transport module is used for the prospect code stream after the transfer encoding.
3. video encoder according to claim 1 is characterized in that: the described method of cutting apart based on max-flow comprises:
Obtain the Gauss model of the color component of each background pixel in the serial background image;
Pixel in the video image and background image are carried out pixel value difference, to described difference greater than the pixel of threshold value then as foreground pixel;
Obtain the mixed Gauss model of the color component of described foreground pixel;
Adopt the described mixed Gauss model of the described Gauss model of background and prospect to calculate the probability that all pixels in the video image belong to prospect or background, obtain after the normalization this pixel corresponding node in the drawings respectively with the energy that is connected of prospect and background node;
Described video image is asked horizontal edge intensity and vertical edge intensity between its neighbor respectively;
Obtain at the energy that is connected between pixel described in the video image and neighbor according to the horizontal edge intensity of each pixel and neighbor and vertical edge intensity; With
According to all internodal connection energy that obtain, adopt the max-flow dividing method to carry out smallest partition, obtain prospect and background pixel in the described video image.
4. video encoder according to claim 1, it is characterized in that: described prospect coding module is encoded to form the prospect code stream to the binary mask of effective macro block in the foreground area and identical foreground area, wherein said binary mask is used for identifying which position of video image and belongs to foreground area, each pixel that belongs to prospect is marked as 1 on the mask, otherwise is labeled as 0; Effective macro block acquisition methods in the described foreground area is: obtain its minimum boundary rectangle according to the binary mask of foreground area; image-region in the described boundary rectangle is divided into foursquare macro block; if comprise foreground pixel in the macro block then judge that this macro block is effective macro block; need coding; otherwise be judged to be invalid macro block, do not encode.
5. video encoder according to claim 4 is characterized in that: described prospect coding module is encoded to the effective macro block in the foreground area and is comprised:
Effective foreground macro block to the appearance of first frame, order according to macro block is handled successively, and described macro block is carried out discrete cosine transform, and discrete cosine transform coefficient is quantized, adopt the differential coding mode that discrete cosine transform coefficient is predicted, and then carry out entropy coding;
Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out discrete cosine transform, carry out entropy coding after its discrete cosine transform coefficient is quantized.
6. video encoder according to claim 5 is characterized in that: described prospect coding module is encoded to the binary mask of foreground area and is comprised:
The boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise be masked as 0, adopt the entropy coding mode to encode the sign of each macro block, and form the code stream transmission with the macroblock coding result.
7. method for video coding is characterized in that it comprises:
Inputted video image;
When the change of background of described video image, upgrade its background;
The background of described renewal is set up background model and described background model is encoded to obtain the background code stream;
Be partitioned into the foreground area in the described video image and described foreground area encoded to obtain the prospect code stream according to described video image and described background model; With
Transmit described background code stream and prospect code stream respectively.
8. method for video coding according to claim 7 is characterized in that: utilize the max-flow dividing method that the foreground area in the described video image is cut apart, it comprises:
Obtain the Gauss model of the color component of each background pixel in the serial background image;
Pixel in the video image and background image are carried out pixel value difference, to described difference greater than the pixel of threshold value then as foreground pixel;
Obtain the mixed Gauss model of the color component of described foreground pixel;
Adopt the described mixed Gauss model of the described Gauss model of background and prospect to calculate the probability that all pixels in the video image belong to prospect or background, obtain after the normalization this pixel corresponding node in the drawings respectively with the energy that is connected of prospect and background node;
Described video image is asked horizontal edge intensity and vertical edge intensity between its neighbor respectively;
Obtain at the energy that is connected between pixel described in the video image and neighbor according to the horizontal edge intensity of each pixel and neighbor and vertical edge intensity; With
According to all internodal connection energy that obtain, adopt the max-flow dividing method to carry out smallest partition, obtain prospect and background pixel in the described video image.
9. method for video coding according to claim 7, it is characterized in that: the binary mask of effective macro block in the foreground area and identical foreground area is encoded to obtain the prospect code stream, wherein said binary mask is used for identifying which position of video image and belongs to foreground area, each pixel that belongs to prospect is marked as 1 on the mask, otherwise is labeled as 0; Effective macro block acquisition methods in the described foreground area is: obtain its minimum boundary rectangle according to the binary mask of foreground area; image-region in the described boundary rectangle is divided into foursquare macro block; if comprise foreground pixel in the macro block then judge that this macro block is effective macro block; need coding; otherwise be judged to be invalid macro block, do not encode.
10. method for video coding according to claim 9 is characterized in that: the effective macro block in the foreground area is encoded to be comprised:
Effective foreground macro block to the appearance of first frame, order according to macro block is handled successively, and described macro block is carried out discrete cosine transform, and discrete cosine transform coefficient is quantized, adopt the differential coding mode that discrete cosine transform coefficient is predicted, and then carry out entropy coding;
Each frame to follow-up appearance, judge whether each macro block is effective in the foreground area, effective macro block is carried out following processing in order: to current macro, in the hunting zone of former frame image, seek and its effective foreground macro block of mating most, it is poor that effective foreground macro block of the described coupling in the former frame image and described current macro are done, the difference that obtains is carried out discrete cosine transform, carry out entropy coding after its discrete cosine transform coefficient is quantized.
11. method for video coding according to claim 10 is characterized in that: the binary mask of identical foreground area encoded to be comprised:
The boundary rectangle scope of foreground area number and each foreground area in the document image, whether also will write down in the image-region in the boundary rectangle scope each macro block effective, if any this tick lables effectively then is 1, otherwise is masked as 0, adopts the entropy coding mode to encode the sign of each macro block.
12. method for video coding according to claim 11 is characterized in that: the coding result of the binary mask of the foreground area of effective macroblock encoding result and correspondence in the foreground area is formed code stream to transmit.
13. a Video Decoder is characterized in that it comprises:
Parser modules is resolved the code stream that receives, and the background code stream after will resolving and prospect code stream are separately;
The background decoder module if receive the background code stream after the parsing then it is decoded with background image updating, otherwise does not process;
The prospect decoder module obtains the foreground area number the prospect code stream after resolving, and obtains coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of each foreground area; With
The video synthesis module, obtain the background image of present image, arrive the upper left corner of foreground area according to the boundary rectangle coordinate setting of each foreground area, according to the order identical with coding, whether the foreground macro block of judging macro block correspondence in the boundary rectangle is effective macro block, if be invalid macro block then jump to next macro block and handle, otherwise read effective macroblock encoding information, obtain discrete cosine transform coefficient after the decoding, recover residual image, from last two field picture, find its coupling macro block, recover the current macro image, just like that you cross current macroblock image and cover correspondence position on the present image; Or effective macro block is added on the background image.
14. Video Decoder according to claim 13 is characterized in that: described former frame image is the former frame image after the video decoder decodes.
15. a video encoding/decoding method is characterized in that it comprises:
The code stream that receives is resolved, and the background code stream after will resolving and prospect code stream are separately;
If receive the background code stream after the parsing then it is decoded with background image updating, otherwise do not process;
Obtain the foreground area number the prospect code stream after resolving, and obtain coordinate, macroblock coding information and the macro block effective marker information of the boundary rectangle of each foreground area; With
Obtain the background image of present image, arrive the upper left corner of foreground area according to the boundary rectangle coordinate setting of each foreground area, according to the order identical with coding, whether the foreground macro block of judging macro block correspondence in the boundary rectangle is effective macro block, if be invalid macro block then jump to next macro block and handle, otherwise read effective macroblock encoding information, obtain discrete cosine transform coefficient after the decoding, recover residual image, from last two field picture, find its coupling macro block, recover the current macro image, and the current macro image is covered correspondence position on the present image; Or effective macro block is added on the background image.
16. the video encoding/decoding method according to claim 15 is characterized in that: described former frame image is the former frame image after the video decoder decodes.
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