CN116781901A - Video stream dynamic decoding method, system, computer equipment and storage medium - Google Patents
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Abstract
The application provides a video stream dynamic decoding method, a video stream dynamic decoding system, computer equipment and a storage medium. The method comprises the following steps: acquiring a video stream of a front-end camera in real time, detecting a frame extraction signal or a motion detection signal, and executing the next step if the frame extraction signal or the motion detection signal is detected at one moment; marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded; judging whether the current frame number to be decoded is zero or not; if not, executing the next step; coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded; encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information; pushing the pushing information to the user side. The method solves the technical problem of partial coding and decoding resource waste in the video stream dynamic decoding process in the prior art.
Description
Technical Field
The present application relates to the field of automatic text abstract generation, and in particular, to a video stream dynamic decoding method, system, computer device, and storage medium.
Background
With the development of artificial intelligence in industrial ecology, fusion application and the like. Especially in fields such as security protection, general wisdom, the front-end camera lacks or lacks part of the front-end intelligent scheme, and the rear-end intelligent scheme is required to be added. With this, the server is faced with a lot of audio/video codec resource consumption.
In the existing mode, the rear intelligent scheme is usually that a server pulls a video stream of a front-end camera in real time, decodes the video stream in real time, and then makes rear intelligent analysis by using a decoded picture. Because the post-intelligent scheme does not detect every frame of picture, partial coding and decoding resources are wasted in the current mode, and partial coding and decoding resource consumption is generated.
Disclosure of Invention
Aiming at the defects existing in the prior art, the application provides a video stream dynamic decoding method, which solves the technical problem of the prior art that part of encoding and decoding resources are wasted in the video stream dynamic decoding process.
In a first aspect, the present application provides a video stream dynamic decoding method, the decoding method comprising:
s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step;
s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded;
s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step;
s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information;
s6: pushing the pushing information to the user side.
Further, pushing the pushing information to the user side includes:
SS1: creating a push queue, wherein the push queue is used for receiving and caching push information;
SS2: inquiring whether the push queue is empty or not at regular time, and taking out push information from the push queue and pushing the push information when the push queue is not empty;
SS3: judging whether the service needs to be stopped, if so, ending.
Further, before step S1, the method further includes: responding to a decoding request of a user terminal, and acquiring a service type; the service types comprise frame extraction service and subscription service;
when the service type is frame extraction service, in the process of executing the steps S1 to S5, receiving a frame extraction signal manually input by a user side in real time;
when the service type is a subscription service, the method comprises the following steps:
SSS1: acquiring a plurality of items of equipment basic information of a user side, wherein the items of equipment basic information comprise equipment IP addresses, port numbers, manufacturer types and channel numbers;
SSS2: judging whether the front-end camera exists and subscribes according to the basic information of a plurality of items of equipment; if yes, executing the next step;
SSS3: acquiring an SDK of a user side and connecting the SDK to subscribe a dynamic detection signal of a front-end camera, acquiring a subscription result and judging whether the subscription is successful or not; if yes, executing the next step;
SSS4: pulling the video stream of the front-end camera in an RTSP mode and judging whether the pulling is successful; if yes, executing the next step;
SSS5: analyzing the data frames in the video stream by using an RTP protocol to obtain RTP packets and sequencing the RTP packets; assembling and acquiring a media frame based on the load type, the mark and the time stamp of the RTP packet; analyzing the media frame to obtain H264 frame information and H265 frame information;
SSS6: steps S2 to S6 are performed.
Further, the service type further includes a query service, and when the service type is the query service, the method includes:
according to the information of the pushing server in the decoding request, connecting the pushing server; and executing the steps SS1 to SS3 to push the push information to the corresponding user terminal.
In a second aspect, the present application provides a video stream dynamic decoding system that performs a video stream dynamic decoding method, the system comprising:
user interface module, signal processing module, GOP decoding module and push server
The user interface module is connected with the user terminal and is used for receiving a decoding request uploaded by the user terminal and obtaining a service type; when the service type is frame extraction service, the user interface module generates a frame extraction signal and sends the frame extraction signal to the signal processing module;
the signal processing module calls the audio and video processing module to execute the frame extraction service according to the frame extraction signal;
the audio and video processing module is connected with the front-end camera and is used for performing frame extraction processing on the video stream of the front-end camera; the frame extraction processing comprises GOP buffering of video frames of the video stream to generate GOP information;
the GOP decoding module is based on the coding type of the GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
the pushing server is used for sequentially encoding, caching and pushing the decoded images marked with the decoding marks.
Further, the pushing server comprises an encoding unit, a caching unit and a pushing unit;
the encoding unit comprises a jpeg encoder, wherein each decoded image marked with a decoding mark is encoded by the initialized jpeg encoder and stored locally, and push information is generated and sent to the caching unit;
the caching unit is used for creating a push queue, and the push queue is used for receiving and caching push information;
the pushing unit is used for sequentially taking out pushing information in the pushing queue and pushing the pushing information.
Further, the decoding system also comprises a device management module, and when the service type is subscription service, the user interface module generates a subscription signal and sends the subscription signal to the device management module;
and the equipment management module controls the audio and video processing module to acquire the video stream corresponding to the front-end camera according to the subscription signal and performs frame extraction processing.
Further, the subscription signal comprises a dynamic check subscription signal; the equipment management module sends the dynamic detection subscription signal to the signal processing module through the audio and video processing module; the signal processing module subscribes the dynamic detection signal to the front-end camera corresponding to the dynamic detection subscription signal.
In a third aspect, the present application provides a computer device comprising a processor and a memory, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of a video stream dynamic decoding method, comprising: s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step; s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded; s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step; s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded; s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information; s6: pushing the pushing information to the user side.
In a fourth aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of a video stream dynamic decoding method, comprising: s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step; s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded; s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step; s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded; s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information; s6: pushing the pushing information to the user side.
Compared with the prior art, the application has the following beneficial effects:
the method comprises the steps of acquiring a video stream of a front-end camera in real time, caching video frame sequences which can be independently decoded in a GOP (group of pictures) mode, simultaneously receiving a dynamic detection signal or a frame extraction signal of the front-end camera, and marking a decoding mark on a current video frame after the dynamic detection signal or the frame extraction signal is received; when one GOP sequence is finished, judging whether frames needing to be decoded exist in the current GOP sequence, if not, directly discarding the frames, and when the frames needing to be decoded exist, only decoding the video frames from the first frame to the last frame needing to be decoded in the GOP sequence; thereby improving the effective utilization rate of the encoding and decoding resources of the server; a large amount of server resources are saved; the resource consumption of the video stream back-end service platform is reduced. The method solves the technical problem of partial coding and decoding resource waste in the video stream dynamic decoding process in the prior art.
Drawings
Fig. 1 is a diagram of steps in a method for dynamically decoding a video stream according to an embodiment of the present application.
Fig. 2 is a diagram of steps in a method for pushing push information to a client according to another embodiment of the present application.
Fig. 3 is a diagram of steps in a method for dynamically decoding a video stream when a service type is a subscription service according to another embodiment of the present application.
Fig. 4 is a schematic block diagram of a video stream dynamic decoding system according to another embodiment of the present application.
Detailed Description
The technical scheme of the application is further described below with reference to the accompanying drawings and examples.
Examples:
in a first aspect, as shown in fig. 1, the present application provides a video stream dynamic decoding method, the decoding method comprising:
s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step;
s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded;
if the frame extraction signal or the motion detection signal is obtained at the current moment, judging that the video frame at the current moment is a target video frame; caching the target video frames in a GOP form to form GOP information;
s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step;
s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information;
s6: pushing the pushing information to the user side.
The implementation process of the embodiment comprises the following steps:
the method comprises the steps of acquiring a video stream of a front-end camera in real time, caching video frame sequences which can be independently decoded in a GOP (group of pictures) mode, simultaneously receiving a dynamic detection signal or a frame extraction signal of the front-end camera, and marking a decoding mark on a current video frame after the dynamic detection signal or the frame extraction signal is received; when one GOP sequence is finished, judging whether frames needing to be decoded exist in the current GOP sequence, if not, directly discarding the frames, and when the frames needing to be decoded exist, only decoding the video frames from the first frame to the last frame needing to be decoded in the GOP sequence; thereby improving the effective utilization rate of the encoding and decoding resources of the server; a large amount of server resources are saved; the resource consumption of the video stream back-end service platform is reduced. The method solves the technical problem of partial coding and decoding resource waste in the video stream dynamic decoding process in the prior art.
In this embodiment, as shown in fig. 2, step S5 of pushing the pushing information to the user side includes:
SS1: creating a push queue, wherein the push queue is used for receiving and caching push information;
SS2: inquiring whether the push queue is empty or not at regular time, and taking out push information from the push queue and pushing the push information when the push queue is not empty;
SS3: judging whether the service needs to be stopped, if so, ending.
It should be noted that, before step S1, the method further includes: responding to a decoding request of a user terminal, and acquiring a service type; the service types comprise frame extraction service and subscription service;
when the service type is frame extraction service, in the process of executing the steps S1 to S5, receiving a frame extraction signal manually input by a user side in real time;
as shown in fig. 3, when the traffic type is a subscription service, it includes:
SSS1: acquiring a plurality of items of equipment basic information of a user side, wherein the items of equipment basic information comprise equipment IP addresses, port numbers, manufacturer types and channel numbers;
SSS2: judging whether the front-end camera exists and subscribes according to the basic information of a plurality of items of equipment; if yes, executing the next step; if not, directly ending;
SSS3: acquiring an SDK of a user side and connecting the SDK to subscribe a dynamic detection signal of a front-end camera, acquiring a subscription result and judging whether the subscription is successful or not; if yes, executing the next step; if not, directly ending;
SSS4: pulling the video stream of the front-end camera in an RTSP mode and judging whether the pulling is successful; if yes, executing the next step;
using RTSP protocol to pull video stream of front end camera, judging whether pulling stream is successful or not by RTSP return state and whether receiving video stream data or not;
SSS5: analyzing the data frames in the video stream by using an RTP protocol to obtain RTP packets and sequencing the RTP packets; assembling and acquiring a media frame based on the load type, the mark and the time stamp of the RTP packet; analyzing the media frame to obtain H264 frame information and H265 frame information;
SSS6: steps S2 to S6 are performed.
It should be noted that, the service type further includes a query service, and when the service type is the query service, the method includes:
according to the information of the pushing server in the decoding request, connecting the pushing server; and executing the steps SS1 to SS3 to push the push information to the corresponding user terminal. After the push server, it is further determined whether the push service is successfully created according to the connection state, and steps SS1 to SS4 are executed only when the creation is successful.
In a second aspect, as shown in fig. 4, the present application provides a video stream dynamic decoding system for performing a video stream dynamic decoding method, the system comprising:
user interface module, signal processing module, GOP decoding module and push server
The user interface module is connected with the user terminal and is used for receiving a decoding request uploaded by the user terminal and obtaining a service type;
when the service type is frame extraction service, the user interface module generates a frame extraction signal and sends the frame extraction signal to the signal processing module;
the signal processing module calls the audio and video processing module to execute the frame extraction service according to the frame extraction signal;
the audio and video processing module is connected with the front-end camera and is used for performing frame extraction processing on the video stream of the front-end camera; the frame extraction processing comprises GOP buffering of video frames of the video stream to generate GOP information;
the GOP decoding module is based on the coding type of the GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
the pushing server is used for sequentially encoding, caching and pushing the decoded images marked with the decoding marks. The pushing server comprises an encoding unit, a cache unit and a pushing unit; the encoding unit comprises a jpeg encoder, wherein each decoded image marked with a decoding mark is encoded by the initialized jpeg encoder and stored locally, and push information is generated and sent to the caching unit; the caching unit is used for creating a push queue, and the push queue is used for receiving and caching push information; the pushing unit is used for sequentially taking out pushing information in the pushing queue and pushing the pushing information.
The implementation process of the embodiment comprises the following steps:
the user interface module comprises a plurality of service interfaces, and the service interfaces are used for being connected with the user terminal to obtain various decoding requests of the user terminal. The user side sends the frame extraction signal to the signal processing module through the service interface;
in addition, the decoding system also comprises a device management module, and when the service type is subscription service, the user interface module generates a subscription signal and sends the subscription signal to the device management module;
and the equipment management module controls the audio and video processing module to acquire the video stream corresponding to the front-end camera according to the subscription signal and performs frame extraction processing. The subscription signals comprise dynamic detection subscription signals; the equipment management module sends the dynamic detection subscription signal to the signal processing module through the audio and video processing module; the signal processing module subscribes the dynamic detection signal to the front-end camera corresponding to the dynamic detection subscription signal.
In a third aspect, the present application provides a computer device comprising a processor and a memory, the memory having stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of a video stream dynamic decoding method, comprising: s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step; s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded; s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step; s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded; s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information; s6: pushing the pushing information to the user side.
In a fourth aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of a video stream dynamic decoding method, comprising: s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step; s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded; s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step; s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded; s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information; s6: pushing the pushing information to the user side.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), memory bus dynamic RAM (RDRAM), and the like.
Finally, it is noted that the above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present application, which is intended to be covered by the scope of the claims of the present application.
Claims (10)
1. The video stream dynamic decoding method is characterized in that: the decoding method comprises the following steps:
s1: acquiring a video stream of a front-end camera in real time, and detecting a frame extraction signal or a motion detection signal; if the frame extraction signal or the motion detection signal is detected at a moment, executing the next step;
s2: marking decoding marks on video frames, performing GOP buffering to generate GOP information, and updating the frame number to be decoded;
s3: judging whether the current frame number to be decoded is zero or not; if not, executing the next step;
s4: coding type based on GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
s5: encoding each decoded image marked with the decoding mark, storing the encoded image to the local, and generating push information;
s6: pushing the pushing information to the user side.
2. The video stream dynamic decoding method of claim 1, wherein: pushing the pushing information to the user side, including:
SS1: creating a push queue, wherein the push queue is used for receiving and caching push information;
SS2: inquiring whether the push queue is empty or not at regular time, and taking out push information from the push queue and pushing the push information when the push queue is not empty;
SS3: judging whether the service needs to be stopped, if so, ending.
3. The video stream dynamic decoding method of claim 2, wherein: the method further comprises the following steps before the step S1: responding to a decoding request of a user terminal, and acquiring a service type; the service types comprise frame extraction service and subscription service;
when the service type is frame extraction service, in the process of executing the steps S1 to S5, receiving a frame extraction signal manually input by a user side in real time;
when the service type is a subscription service, the method comprises the following steps:
SSS1: acquiring a plurality of items of equipment basic information of a user side, wherein the items of equipment basic information comprise equipment IP addresses, port numbers, manufacturer types and channel numbers;
SSS2: judging whether the front-end camera exists and subscribes according to the basic information of a plurality of items of equipment; if yes, executing the next step;
SSS3: acquiring an SDK of a user side and connecting the SDK to subscribe a dynamic detection signal of a front-end camera, acquiring a subscription result and judging whether the subscription is successful or not; if yes, executing the next step;
SSS4: pulling the video stream of the front-end camera in an RTSP mode and judging whether the pulling is successful; if yes, executing the next step;
SSS5: analyzing the data frames in the video stream by using an RTP protocol to obtain RTP packets and sequencing the RTP packets; assembling and acquiring a media frame based on the load type, the mark and the time stamp of the RTP packet; analyzing the media frame to obtain H264 frame information and H265 frame information;
SSS6: steps S2 to S6 are performed.
4. The video stream dynamic decoding method of claim 2, wherein: the service type also includes a query service, and when the service type is the query service, the method includes:
according to the information of the pushing server in the decoding request, connecting the pushing server; and executing the steps SS1 to SS3 to push the push information to the corresponding user terminal.
5. Video stream dynamic decoding system for performing a video stream dynamic decoding method according to any of claims 1-4, characterized in that: the system comprises:
user interface module, signal processing module, GOP decoding module and push server
The user interface module is connected with the user terminal and is used for receiving a decoding request uploaded by the user terminal and obtaining a service type; when the service type is frame extraction service, the user interface module generates a frame extraction signal and sends the frame extraction signal to the signal processing module;
the signal processing module calls the audio and video processing module to execute the frame extraction service according to the frame extraction signal;
the audio and video processing module is connected with the front-end camera and is used for performing frame extraction processing on the video stream of the front-end camera; the frame extraction processing comprises GOP buffering of video frames of the video stream to generate GOP information;
the GOP decoding module is based on the coding type of the GOP information; decoding video frames of the GOP information one by one to obtain decoded images, marking decoding marks, and calculating to obtain effective decoding numbers; stopping decoding when the effective decoding number is equal to the frame number to be decoded;
the pushing server is used for sequentially encoding, caching and pushing the decoded images marked with the decoding marks.
6. The video stream dynamic decoding system of claim 5, wherein: the pushing server comprises an encoding unit, a caching unit and a pushing unit;
the encoding unit comprises a jpeg encoder, wherein each decoded image marked with a decoding mark is encoded by the initialized jpeg encoder and stored locally, and push information is generated and sent to the caching unit;
the caching unit is used for creating a push queue, and the push queue is used for receiving and caching push information;
the pushing unit is used for sequentially taking out pushing information in the pushing queue and pushing the pushing information.
7. The video stream dynamic decoding system of claim 6, wherein: the decoding system also comprises a device management module, and when the business type is subscription service, the user interface module generates a subscription signal and sends the subscription signal to the device management module;
and the equipment management module controls the audio and video processing module to acquire the video stream corresponding to the front-end camera according to the subscription signal and performs frame extraction processing.
8. The video stream dynamic decoding system of claim 7, wherein: the subscription signals comprise dynamic detection subscription signals; the equipment management module sends the dynamic detection subscription signal to the signal processing module through the audio and video processing module; the signal processing module subscribes the dynamic detection signal to the front-end camera corresponding to the dynamic detection subscription signal.
9. A computer device comprising a processor and a memory, the memory having stored therein a computer program, characterized in that the computer program, when executed by the processor, causes the processor to perform the steps of the video stream dynamic decoding method according to any of claims 1-4.
10. A storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the video stream dynamic decoding method according to any one of claims 1-4.
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| CN117241043A (en) * | 2023-11-10 | 2023-12-15 | 深圳中微电科技有限公司 | Method, system and storage medium for recovering decoding error of video hardware |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117241043A (en) * | 2023-11-10 | 2023-12-15 | 深圳中微电科技有限公司 | Method, system and storage medium for recovering decoding error of video hardware |
| CN117241043B (en) * | 2023-11-10 | 2024-03-19 | 深圳中微电科技有限公司 | Method, system and storage medium for recovering decoding error of video hardware |
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