CN102111621B - Video data recovery method, device and system - Google Patents
Video data recovery method, device and system Download PDFInfo
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- CN102111621B CN102111621B CN 200910243708 CN200910243708A CN102111621B CN 102111621 B CN102111621 B CN 102111621B CN 200910243708 CN200910243708 CN 200910243708 CN 200910243708 A CN200910243708 A CN 200910243708A CN 102111621 B CN102111621 B CN 102111621B
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Abstract
The embodiment of the invention discloses a video data recovery method, which comprises the following steps of: acquiring video data at the same moment and a visual angle different from that of lost video data and corresponding calibrated camera parameters; and structuring recovery data according to the acquired video data and the corresponding calibrated camera parameters, and replacing the lost video data by using the recovery data. The embodiment of the invention improves the quality of a restructured image. The embodiment of the invention also discloses a device and a system using the method.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of methods, devices and systems that recover video data.
Background technology
Along with the development of communication network, the encoding and decoding technique of video data has also been made significant headway.Coded data can be decoded first when playing, and then just can carry out normal play, if coded data is lost in storage or network transmission process, decoding is made a mistake, and causes the decoder collapse and mosaic phenomenon occurs.
Prior art discloses a kind of compensation method to obliterated data, and this compensation method is based on time domain, the macroblock of video data integral body of the previous frame of the present frame of obliterated data need to be copied to present frame.Particularly, if there is loss of data in the data flow, judges whether that then finishing the obliterated data prediction at the software processing layer estimates and compensation, otherwise video data is play; Estimate and compensation if determine the prediction of finishing obliterated data at the software processing layer, then judge the requirement of real-time of system; If system is high to requirement of real-time, then obliterated data is carried out estimating and compensation based on the prediction of time domain, if system is not high to requirement of real-time, then obliterated data is carried out estimating and based on the compensation of time domain based on the prediction in spatial domain; Enter the decoder processes layer, decoder carries out estimating and based on the compensation of time domain based on the prediction in spatial domain to the encoded video data stream that has loss of data that receives; Decoder is decoded to the encoded video data stream that receives, and sends to playing device and play, and selects based on above-mentioned judgement, finishes the compensation to obliterated data.
The same with the ordinary video coded data, the situation of packet loss also can appear in the multiple view video coding data when carrying out Internet Transmission.Because frame of video is take frame as unit, so the partial loss of a certain frame data probably causes these frame data to decode.
The inventor finds that there is following defective at least in prior art in realizing process of the present invention:
Obliterated data compensation method of the prior art is based on time domain, the macroblock of video data integral body of the frame of video previous frame of obliterated data need to be copied to present frame, and the video frequency data quality of reconstruction is poor, and obvious block effect is arranged.When whole LOF, can't recover, do not utilize the video redundant information of different points of view on the space.
Summary of the invention
The embodiment of the invention provides a kind of methods, devices and systems that recover video data, is used for improving the quality of reconstructed image.
The embodiment of the invention provides a kind of method of recovering video data, comprising:
The video data at each visual angle of the video sending end transmission that receives is play in decoding, and detects in real time the up-to-date P frame that receives in the described video data; Obtain the motion vector of each macro block of described P frame, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place;
When detecting video data loss, obtain the video data of the synchronization different from the visual angle of the video data of losing and corresponding calibrating camera parameters;
Recover data according to the described video data that obtains and corresponding calibrating camera parameters structure, and use described recovery data to replace the described video data of losing.
The embodiment of the invention also provides a kind of device that recovers video data, comprising:
Acquisition module is used for obtaining the video data of the synchronization different from the visual angle of the video data of losing and corresponding calibrating camera parameters;
Recover module, the video data and the corresponding calibrating camera parameters that are used for obtaining according to described acquisition module are constructed the recovery data, and use described recovery data to replace the described video data of losing;
Update module when the video data that the video sending end that receives is sent is decoded broadcast, detects the up-to-date P frame that receives in the described video data in real time; Obtain the motion vector of each macro block of described P frame, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place, for described recovery module.
The embodiment of the invention also provides a kind of system of recovering video data, comprising:
Video sending end is for the video data from each visual angle to video receiver and the calibrating camera parameters that send;
Video receiver, be used for receiving video data and calibrating camera parameters from each visual angle of described video sending end, to the video data that the receives broadcast of decoding, detect in real time the up-to-date P frame that receives in this video data, obtain the motion vector of each macro block of the up-to-date P frame that receives, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place, when detecting video data loss, obtain the video data of the synchronization different from the visual angle of the described video data of losing, recover data according to the described video data that obtains and corresponding calibrating camera parameters structure, and use described recovery data to replace the described video data of losing.
Compared with prior art, the embodiment of the invention has the following advantages: the embodiment of the invention utilizes the video data at each visual angle and calibrating camera parameters structure to recover data, and replace the video data lost with the recovery data that obtain, eliminated the block effect that recovers data, utilize the video redundant information of different points of view on the space, improved reconstructed image quality.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in the embodiment of the invention or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is a kind of method flow diagram that recovers video data in the embodiment of the invention one;
Fig. 2 is a kind of method flow diagram that recovers video data in the embodiment of the invention two;
Fig. 3 is a kind of method flow diagram that recovers video data in the embodiment of the invention three;
Fig. 4 is the frame structure schematic diagram of the many view system in the embodiment of the invention four;
Fig. 5 is a kind of method flow diagram that recovers video data in the embodiment of the invention four;
Fig. 6 is a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention five;
Fig. 7 is a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention six;
Fig. 8 is a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention seven;
Fig. 9 is a kind of system configuration schematic diagram that recovers video data in the embodiment of the invention eight.
Embodiment
In the technical scheme that the embodiment of the invention provides, its core concept is for when detecting video data loss, according to the video data from the calibrating camera parameters of video sending end and the synchronization different from the video data visual angle of losing that receives, use medial view to generate method construct and recover data, and use the static region comparative approach that the recovery data of structure are carried out preferably, use the recovery data that preferably obtain to replace the video data of losing.
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme of the embodiment of the invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
As shown in Figure 1, a kind of method flow diagram that recovers video data in the embodiment of the invention one may further comprise the steps:
Particularly, can receive video data and calibrating camera parameters from each visual angle of video sending end, when detecting video data loss, obtain the video data of the synchronization different from the visual angle of the video data of losing and corresponding calibrating camera parameters.Wherein, calibrating camera parameters comprises intrinsic parameters of the camera and video camera external parameter, and intrinsic parameters of the camera comprises (lens) normalization focal length on the trunnion axis, the parameters such as (lens) normalization focal length, trunnion axis nonlinear distortion variable element, vertical axis nonlinear distortion variable element, trunnion axis side-play amount and vertical axis side-play amount on the vertical axis; The video camera external parameter comprises video camera with respect to the coordinate parameters in the external world, and such as x, y, z, deflection etc. are to determine the needed parameter of rigid body basically.
Particularly, the video data that above-mentioned basis is obtained and corresponding calibrating camera parameters structure recover data, specifically comprise: according to the described video data that obtains and corresponding at least two reconstruction frames of calibrating camera parameters structure, and obtain the frame of video at the nearest same visual angle that can be correctly decoded of the described video data of losing of distance; Relatively each reconstruction frames and the described frame of video of obtaining are at the similarity degree of static region, and the reconstruction frames that similarity degree is the highest is as described recovery data.
Each reconstruction frames of above-mentioned comparison and the similarity degree of the frame of video of obtaining at static region, specifically comprise: calculate the absolute value differences sum of the brightness value of described each reconstruction frames and the pixel of the described frame of video of obtaining in described static region, with the reconstruction frames of described absolute value differences sum minimum as the highest reconstruction frames of described similarity degree.
The embodiment of the invention utilizes the video data at each visual angle and calibrating camera parameters structure to recover data, and replace the video data lost with the recovery data that obtain, eliminated the block effect that recovers data, utilize the video redundant information of different points of view on the space, improved the quality of reconstructed image.
The method of the recovery video data in the embodiment of the invention is applied to comprise the system of video sending end and video receiver, wherein, video sending end is made of camera acquisition device and encoder, needs the parameter of calibrating camera, comprises inner parameter and external parameter; Video receiver passes through the network receiving video data, and the video data that receives is decoded.
Below in conjunction with above-mentioned application scenarios the method for the recovery video data in the embodiment of the invention is carried out detailed, concrete description.
As shown in Figure 2, a kind of method flow diagram that recovers video data in the embodiment of the invention two may further comprise the steps:
Particularly, can determine the input/output relation of video camera, give the scale division value of video camera; Also can determine the static characteristic index of video camera; Can also eliminate systematic error, improve the correctness of video camera or system.
Particularly, according to the principle of video camera projection projection, the coordinate of actual object can be transformed into the coordinate of video image, i.e. X
p=M
1* M
2* X
w, wherein, X
pBe the coordinate of image, M
1Be intrinsic parameters of the camera, M
2Be video camera external parameter, X
wThe actual object coordinate.The embodiment of the invention uses medial view to generate the method construct reconstruction frames, recovers several frame of video from the frame of video of the synchronization different from the visual angle of the video data of losing, with this frame of video as reconstruction frames.
For example, the image of known viewpoint 1 and viewpoint 3 because there are the relation of hinting obliquely in actual object coordinate and image coordinate, can in the situation that obtains calibrating camera parameters, utilize formula X
p=M
1* M
2* X
wCalculate the image of the viewpoint 2 between viewpoint 1 and the viewpoint 3.
Particularly, every two field picture can Further Division be macro block, comprises the macro block under the inter-frame forecast mode of macro block under the intra prediction mode of P two field picture and P two field picture.For the macro block under the intra prediction mode of P two field picture, can determine that the zone at this macro block place is not in static region; For the macro block under the inter-frame forecast mode of P two field picture, in the decode procedure of video data, can obtain the motion vector of each macro block, when the motion vector of macro block is zero, illustrate that this macro block is identical with the macro block of former frame same position, can determine that the zone of this macro block is positioned at static region.
Particularly, the image change degree of static region is less, and then frame is higher in the similarity of static region before reconstruction frames and this visual angle, and the picture quality that reconstruction frames is rebuild is better, can select this reconstruction frames to replace the video data of losing as final recovery data.In concrete implementation procedure, can calculate the absolute value differences sum of each reconstruction frames and the brightness value of the pixel of frame of video in static region that obtain, with the reconstruction frames of absolute value differences sum minimum as the highest reconstruction frames of similarity degree.
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, replace the video data lost with the recovery data that preferably obtain, eliminated the block effect that recovers data, improved the quality of reconstructed image, and only when having detected video data loss, just need to select static region, change less to prior art.
As shown in Figure 3, a kind of method flow diagram that recovers video data in the embodiment of the invention three may further comprise the steps:
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, with the video data that the recovery data replacement that preferably obtains is lost, eliminated the block effect that recovers data, improved the quality of reconstructed image.
As shown in Figure 4, be the frame structure schematic diagram of the many view system in the embodiment of the invention four, comprise 5 viewpoints, the P[4 among the figure is supposed in the independent encoding and decoding of each viewpoint] [3] LOF.
As shown in Figure 5, a kind of method flow diagram that recovers video data in the embodiment of the invention four may further comprise the steps:
Particularly, video receiver can utilize P[3] [3] and P[5] [3] recover reconstruction frames P
R35, utilize P[2] and [3] and P[5] [3] recover reconstruction frames P
R25, utilize P[1] and [3] and P[5] [3] recover reconstruction frames P
R15
Particularly, because the frame of video at the nearest same visual angle that can be correctly decoded of distance P [4] [3] frame is I[4] [1] frame, therefore, for reconstruction frames P
R35, can calculate P
R35And I[4] the absolute difference sum SAD of brightness value of [1] pixel in static region
R35For reconstruction frames P
R25, can calculate P
R25And I[4] the absolute difference sum SAD of brightness value of [1] pixel in static region
R25For reconstruction frames P
R15, can calculate P
R15And I[4] the absolute difference sum SAD of brightness value of [1] pixel in static region
R15
Compare SAD
R15, SAD
R25And SAD
R35Between magnitude relationship, select the reconstruction frames of absolute value differences sum minimum to replace P[4 as the highest reconstruction frames of similarity degree] [3] frame.
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, replace the video data lost with the recovery data that preferably obtain, eliminated the block effect that recovers data, improved the quality of reconstructed image, and only when having detected video data loss, just need to select static region, change less to prior art.
The embodiment of the invention provides method and the plurality of application scenes of recovering video data in the above-described embodiment, and correspondingly, the embodiment of the invention also provides device and the system of the method for using above-mentioned recovery video data.
As shown in Figure 6, a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention five comprises:
Recover module 520, the video data and the corresponding calibrating camera parameters that are used for obtaining according to acquisition module 510 are constructed the recovery data, and use described recovery data to replace the described video data of losing.
The embodiment of the invention utilizes the video data at each visual angle and calibrating camera parameters structure to recover data, and replace the video data lost with the recovery data that obtain, eliminated the block effect that recovers data, utilize the video redundant information of different points of view on the space, improved the quality of reconstructed image.
As shown in Figure 7, a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention six comprises:
Recover module 620, the video data and the corresponding calibrating camera parameters that are used for obtaining according to acquisition module 610 are constructed the recovery data, and use described recovery data to replace the described video data of losing.
Above-mentioned recovery module 620 specifically comprises:
Obtain submodule 622, be used for obtaining the frame of video at the nearest same visual angle that can be correctly decoded of the described video data of losing of distance.
Above-mentioned comparison sub-module 623, the concrete absolute value differences sum that is used for calculating the brightness value of described each reconstruction frames and the pixel of the described frame of video of obtaining in described static region, with the reconstruction frames of described absolute value differences sum minimum as the highest reconstruction frames of described similarity degree.
Recover submodule 624, be used for the highest reconstruction frames of similarity degree that described comparison sub-module 623 is obtained as described recovery data, and use described recovery data to replace the described video data of losing.
Above-mentioned recovery module 620 also comprises:
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, replace the video data lost with the recovery data that preferably obtain, eliminated the block effect that recovers data, improved the quality of reconstructed image, and only when having detected video data loss, just need to select static region, change less to prior art.
As shown in Figure 8, a kind of apparatus structure schematic diagram that recovers video data in the embodiment of the invention seven comprises:
Recover module 720, the video data and the corresponding calibrating camera parameters that are used for obtaining according to acquisition module 710 are constructed the recovery data, and use described recovery data to replace the described video data of losing.
Above-mentioned recovery module 720 specifically comprises:
Obtain submodule 722, be used for obtaining the frame of video at the nearest same visual angle that can be correctly decoded of the described video data of losing of distance.
Above-mentioned comparison sub-module 723, the concrete absolute value differences sum that is used for calculating the brightness value of described each reconstruction frames and the pixel of the described frame of video of obtaining in described static region, with the reconstruction frames of described absolute value differences sum minimum as the highest reconstruction frames of described similarity degree.
Recover submodule 724, be used for the highest reconstruction frames of similarity degree that described comparison sub-module 723 is obtained as described recovery data, and use described recovery data to replace the described video data of losing.
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, with the video data that the recovery data replacement that preferably obtains is lost, eliminated the block effect that recovers data, improved the quality of reconstructed image.
As shown in Figure 9, a kind of system configuration schematic diagram that recovers video data in the embodiment of the invention eight comprises:
Above-mentioned video sending end 810 is also for the video camera of setting each visual angle.
The embodiment of the invention utilizes redundant information and the temporal image information structure on the space to recover data, and to the structure the recovery data carry out preferably, with the video data that the recovery data replacement that preferably obtains is lost, eliminated the block effect that recovers data, improved the quality of reconstructed image.
Through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform, can certainly pass through hardware, but the former is better execution mode in a lot of situation.Based on such understanding, the part that the technical scheme of the embodiment of the invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product is stored in the storage medium, comprise that some instructions are with so that a station terminal equipment (can be mobile phone, personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above only is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from embodiment of the invention principle; can also make some improvements and modifications, these improvements and modifications also should be looked protection scope of the present invention.
It will be appreciated by those skilled in the art that the module in the device among the embodiment can be distributed in the device of embodiment according to the embodiment description, also can carry out respective change and be arranged in the one or more devices that are different from present embodiment.The module of above-described embodiment can be integrated in one, and also can separate deployment; A module can be merged into, also a plurality of submodules can be further split into.
The invention described above embodiment sequence number does not represent the quality of embodiment just to description.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.
Claims (9)
1. a method of recovering video data is characterized in that, comprising:
The video data at each visual angle of the video sending end transmission that receives is play in decoding, and detects in real time the up-to-date P frame that receives in the described video data; Obtain the motion vector of each macro block of described P frame, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place;
When detecting video data loss, obtain the video data of the synchronization different from the visual angle of the video data of losing and corresponding calibrating camera parameters;
Recover data according to the described video data that obtains and corresponding calibrating camera parameters structure, and use described recovery data to replace the described video data of losing.
2. the method for claim 1 is characterized in that, the video data that described basis is obtained and corresponding calibrating camera parameters structure recover data, specifically comprise:
According to the described video data that obtains and corresponding at least two reconstruction frames of calibrating camera parameters structure, and obtain the frame of video at the nearest same visual angle that can be correctly decoded of the described video data of losing of distance;
Relatively each reconstruction frames and the described frame of video of obtaining are at the similarity degree of static region, and the reconstruction frames that similarity degree is the highest is as described recovery data.
3. method as claimed in claim 2 is characterized in that, each reconstruction frames of described comparison and the similarity degree of the frame of video of obtaining at static region specifically comprise:
Calculate the absolute value differences sum of the brightness value of described each reconstruction frames and the pixel of the described frame of video of obtaining in described static region, with the reconstruction frames of described absolute value differences sum minimum as the highest reconstruction frames of described similarity degree.
4. method as claimed in claim 2 is characterized in that, each reconstruction frames of described comparison and the frame of video obtained also comprised before the similarity degree of static region:
Detecting the P frame at the nearest same visual angle of the described video data of losing of distance, obtain the motion vector of each macro block of described P frame, is that the zone at zero macro block place is as the static region at this visual angle with motion vector under the inter-frame forecast mode of P two field picture.
5. a device that recovers video data is characterized in that, comprising:
Acquisition module is used for obtaining the video data of the synchronization different from the visual angle of the video data of losing and corresponding calibrating camera parameters;
Recover module, the video data and the corresponding calibrating camera parameters that are used for obtaining according to described acquisition module are constructed the recovery data, and use described recovery data to replace the described video data of losing;
Update module when the video data that the video sending end that receives is sent is decoded broadcast, detects the up-to-date P frame that receives in the described video data in real time; Obtain the motion vector of each macro block of described P frame, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place, for described recovery module.
6. device as claimed in claim 5 is characterized in that, described recovery module specifically comprises:
The constructor module is for the video data that obtains according to described acquisition module and corresponding at least two reconstruction frames of calibrating camera parameters structure;
Obtain submodule, be used for obtaining the frame of video at the nearest same visual angle that can be correctly decoded of the described video data of losing of distance;
Comparison sub-module is used for each reconstruction frames of more described constructor module structure and describedly obtains frame of video that submodule obtains at the similarity degree of static region;
Recover submodule, be used for the highest reconstruction frames of similarity degree that described comparison sub-module is obtained as described recovery data, and use described recovery data to replace the described video data of losing.
7. device as claimed in claim 6 is characterized in that,
Described comparison sub-module, the concrete absolute value differences sum that is used for calculating the brightness value of described each reconstruction frames and the pixel of the described frame of video of obtaining in described static region, with the reconstruction frames of described absolute value differences sum minimum as the highest reconstruction frames of described similarity degree.
8. device as claimed in claim 6 is characterized in that, described recovery module also comprises:
Detection sub-module, P frame for detection of the nearest same visual angle of the described video data of losing of distance, obtain the motion vector of each macro block of described P frame, be that the zone at zero macro block place is as the static region at this visual angle, for described comparison sub-module with motion vector under the inter-frame forecast mode of P two field picture.
9. a system of recovering video data is characterized in that, comprising:
Video sending end is for the video data from each visual angle to video receiver and the calibrating camera parameters that send;
Video receiver, be used for receiving video data and calibrating camera parameters from each visual angle of described video sending end, to the video data that the receives broadcast of decoding, detect in real time the up-to-date P frame that receives in this video data, obtain the motion vector of each macro block of the up-to-date P frame that receives, using motion vector under the inter-frame forecast mode of P two field picture is the area update static region at zero macro block place, when detecting video data loss, obtain the video data of the synchronization different from the visual angle of the described video data of losing, recover data according to the described video data that obtains and corresponding calibrating camera parameters structure, and use described recovery data to replace the described video data of losing.
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