CN113382236A - Self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission - Google Patents
Self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/117—Filters, e.g. for pre-processing or post-processing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
- H04N21/2347—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving video stream encryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/4408—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving video stream encryption, e.g. re-encrypting a decrypted video stream for redistribution in a home network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/643—Communication protocols
- H04N21/6437—Real-time Transport Protocol [RTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
- H04N21/647—Control signaling between network components and server or clients; Network processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load, bridging between two different networks, e.g. between IP and wireless
- H04N21/64784—Data processing by the network
Abstract
The invention discloses a self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission, which comprises the following steps of: step one, setting a detection video; secondly, collecting file codes and encrypting the file codes; step three, detecting network resources; step four, parameter adjustment; collecting file coding transmission; according to the self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission, noise reduction processing is carried out on a collected file, meanwhile, before coding transmission is carried out on the collected file, the transmission condition of a detection video detection transmission network is transmitted firstly, and then QoS parameters are adjusted timely according to the transmission condition of the transmission network, so that coding transmission processing on the file is facilitated, the blocking times, frame loss and frame loss of a real-time video picture are greatly reduced, blocking of the real-time video picture is changed into a minimum probability event under a large-scale network packet loss environment, and the influence of large-scale network packet loss on real-time video transmission is greatly reduced.
Description
Technical Field
The invention relates to the technical field of real-time video source coding, in particular to a self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission.
Background
Aiming at the phenomena of large-scale network packet loss caused by network phenomena such as large-scale network jitter caused by signal gain and signal to noise ratio changes, transmission network bandwidth occupation saturation, network loops formed by error connection and configuration, network broadcast storm formed by the network loops, network transmission physical line faults, network transmission equipment faults, equipment bottlenecks, network attacks and the like under severe, complex and high-dynamic network environments such as field, sea, land complex terrain, satellite communication, wireless communication and communication in high-speed motion, complex electromagnetic environments and the like, so that the phenomena of large-scale network packet loss, such as large-scale blockage, screen splash, half-frame loss, even blockage of a real-time video picture and the like are caused, and therefore, the self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission is necessary to be designed.
Disclosure of Invention
The invention aims to provide a self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission comprises the following steps: step one, setting a detection video; secondly, collecting file codes and encrypting the file codes; step three, detecting network resources; step four, parameter adjustment; collecting file coding transmission;
in the first step, firstly, a video acquisition module is used for acquiring a video file to be coded for later use, filtering processing is carried out on the acquired file by using an LMS adaptive filter in the acquisition process, the storage capacity of the acquired file is reduced by carrying out filtering processing on the file, the acquired file is simultaneously favorably transmitted, and then two characteristics of texture and gray level are adopted to set the acquired file in 0.1s which is started firstly as a detection video;
in the second step, the acquired file obtained in the first step is encoded into an acquired video encoding file under the control of QoS parameters of an encoding module, the encoding uses H.265, then the acquired video encoding file is encrypted and recoded by using an encryption algorithm to acquire an acquired video encoding file, then the acquired video encoding file is subjected to RTP (real-time transport protocol) packaging, and is transmitted to a data receiving module by using a bottom layer network interface and a network transmission module and receives a file after the RTP packaging is decoded, and after the decoding mode adopts authorization verification, the received acquired video encoding file is dynamically decoded by using an internal decryption algorithm of a receiving device;
in the third step, the recorded phenomena of network transmission delay and jitter are transmitted to the network resource detection module through the network transmission module according to the detected video encrypted coding file received in the second step through the network condition feedback module, and the phenomena of picture blocking, screen floating, half width, frame loss and blocking of the detected video coding file received by the data receiving module are detected through the network resource detection module;
in the fourth step, the selected QoS parameters are adjusted by the adaptive policy and adjusting module according to the network transmission delay and jitter detected in the third step and the frequencies of picture pause, screen splash, half frame, frame loss and blocking of the detection video in the collected video encryption coding file, wherein the relationship function between the network state netstate and the packet loss rate pl and the delay jitter is as follows:
netstate＝NetState(pl，jitter)
setting threshold values of packet loss Rate and delay jitter as ThresL and ThresJ respectively, and comparing the packet loss Rate and the delay jitter with the threshold values of the packet loss Rate and the delay jitter respectively to adjust the code stream adjustment amplitude delta Rate in the QoS parameter, wherein the relational expression between the code stream adjustment amplitude delta Rate and the network state netstate is as follows:
wherein Delta is the video encoding rate, and then a proper QoS parameter is selected;
in the fifth step, the appropriate QoS parameters obtained in the fourth step are applied to the acquisition file acquired by the video acquisition module in the first step through the adaptive adjustment control module to complete the encoding step, and in the process of recoding and encrypting the acquired acquisition file, a detection video of 0.1s is set at certain intervals, and then the detection video is repeated to the operations of the second step, the third step and the fourth step, so that the QoS parameters can be adjusted in time.
Preferably, in the second step, the format of the probe video coding file is one of MPEG, AVI, naci, ASF, MOV, 3GP, WMV, Divx, RM, and RMVB formats.
Preferably, in the second step, the encryption algorithm is one of AES256, 512, SM2 and SM 3.
Preferably, in the third step, the network resource detection module includes an adaptive dynamic network packet loss inspection frame module, an adaptive dynamic network change monitoring frame module, an intelligent intra-frame calibration frame module, and an intelligent intra-frame prediction frame module.
Preferably, in the fourth step, two parameters of packet loss rate and delay jitter are used as main judgment bases in the process of adjusting the QoS parameter.
Preferably, in the fifth step, the time interval between the next set detection video and the last set detection video is 5 s.
Compared with the prior art, the invention has the beneficial effects that: the self-adaptive dynamic anti-network packet loss intelligent source coding method for real-time video transmission comprises the steps of intelligently and multiply copying a whole frame through a preset self-adaptive dynamic network packet loss inspection frame module, a self-adaptive dynamic network change monitoring frame module, an intelligent intra-frame calibration frame module and an intelligent intra-frame prediction frame module which are arranged in a network resource detection module, and simultaneously carrying out noise reduction processing on a collected file, so that the frame receiving amount and the frame receiving rate of a real-time video source decoding end in large-scale network packet loss are greatly increased, the blocking times, frame loss and frame loss of a real-time video picture are greatly reduced, a detection video detection transmission network transmission condition is set before the collected file is subjected to network transmission, a QoS (quality of service) parameter is timely adjusted to code the collected file, and the blocking of the real-time video picture in a large-scale network packet loss environment is favorably changed into a very small probability event, the influence of large-scale network packet loss on real-time video transmission is greatly reduced.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a system flow diagram of the present invention;
fig. 3 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, an embodiment of the present invention is shown: the self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission comprises the following steps: step one, setting a detection video; secondly, collecting file codes and encrypting the file codes; step three, detecting network resources; step four, parameter adjustment; collecting file coding transmission;
in the first step, firstly, a video acquisition module is used for acquiring a video file to be coded for later use, filtering processing is carried out on the acquired file by using an LMS adaptive filter in the acquisition process, the storage capacity of the acquired file is reduced by carrying out filtering processing on the file, the acquired file is simultaneously favorably transmitted, and then two characteristics of texture and gray level are adopted to set the acquired file in 0.1s which is started firstly as a detection video;
in the second step, the collected file obtained in the first step is coded into a collected video coding file under the control of QoS parameters of a coding module, the format of the collected video coding file is one of MPEG, AVI, nAII, ASF, MOV, 3GP, WMV, Divx, RM and RMVB, H.265 is used for coding, the collected video coding file is encrypted and recoded by utilizing an encryption algorithm to obtain a collected video encryption coding file, then the collected video encryption coding file is subjected to RTP encapsulation, the collected video encryption coding file is transmitted to a data receiving module by utilizing a bottom network interface and a network transmission module and receives a decoded RTP encapsulated file, and after the decoding mode adopts authorization verification, the received collected video encryption coding file is dynamically decoded by utilizing an internal decryption algorithm of receiving equipment, and the encryption algorithm is 256 AES, 512, or RMVB, One of SM2 and SM 3;
in the third step, the recorded phenomena of network transmission delay and jitter are transmitted to a network resource detection module through a network transmission module according to the detection video encryption coding file received in the second step by a network condition feedback module, and the phenomena of picture blocking, screen floating, half width, frame loss and blocking of the detection video coding file received by the data receiving module are detected by the network resource detection module, and the network resource detection module comprises an adaptive dynamic network packet loss detection frame module, an adaptive dynamic network change monitoring frame module, an intelligent intra-frame calibration frame module and an intelligent intra-frame prediction frame module;
in the fourth step, the selected QoS parameters are adjusted through the adaptive policy and adjusting module according to the network transmission delay and jitter detected in the third step and the frequencies of picture blocking, screen splash, half frame, frame loss and blocking of the detection video in the collected video encryption coding file, and in the process of adjusting the QoS parameters, two parameters of packet loss rate and delay jitter are used as main judgment bases, wherein the relation function of the network state netstate, the packet loss rate pl and the delay jitter is as follows:
netstate＝NetState(pl，jitter)
setting threshold values of packet loss Rate and delay jitter as ThresL and ThresJ respectively, and comparing the packet loss Rate and the delay jitter with the threshold values of the packet loss Rate and the delay jitter respectively to adjust the code stream adjustment amplitude delta Rate in the QoS parameter, wherein the relational expression between the code stream adjustment amplitude delta Rate and the network state netstate is as follows:
wherein Delta is the video encoding rate, and then a proper QoS parameter is selected;
in the fifth step, the encoding step can be completed by applying the appropriate QoS parameter obtained in the fourth step to the acquisition file acquired by the video acquisition module in the first step through the adaptive adjustment control module, and in the process of recoding and encrypting the acquired video file, a detection video of 0.1s is set at a certain time interval, and the time interval between the next set detection video and the last set detection video is 5s, and then the detection video is repeated by the operations of the second step, the third step and the fourth step, so that the QoS parameter can be adjusted in time.
Based on the above, the invention has the advantages that when the invention is used, the collected file is set into the detection file, so as to detect the transmission condition of the transmission network through the detection file, the collected file is encoded by using the known transmission condition of the transmission network to adjust the QoS parameter in time, which is favorable for making the real-time video picture dead in the large-scale network packet loss environment become a very small probability event, thereby greatly reducing the influence of the large-scale network packet loss on the real-time video transmission, meanwhile, in the process of encoding the file, the intelligent multi-copying is carried out on the whole frame through the preset self-adaptive dynamic network packet loss inspection frame module, the self-adaptive dynamic network change monitoring frame module, the intelligent intra-frame calibration frame module and the intelligent intra prediction frame module which are arranged in the network resource detection module, and simultaneously the noise reduction processing is carried out on the collected file, thereby greatly increasing the frame receiving amount and the frame receiving rate of the real-time video information source decoding end when the large-scale network packet loss occurs, the phenomena of pause times, frame loss and frame loss of real-time video pictures are greatly reduced.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. The self-adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission comprises the following steps: step one, setting a detection video; secondly, collecting file codes and encrypting the file codes; step three, detecting network resources; step four, parameter adjustment; collecting file coding transmission; the method is characterized in that:
in the first step, firstly, a video acquisition module is used for acquiring a video file to be coded for later use, filtering processing is carried out on the acquired file by using an LMS adaptive filter in the acquisition process, the storage capacity of the acquired file is reduced by carrying out filtering processing on the file, the acquired file is simultaneously favorably transmitted, and then two characteristics of texture and gray level are adopted to set the acquired file in 0.1s which is started firstly as a detection video;
in the second step, the acquired file obtained in the first step is encoded into an acquired video encoding file under the control of QoS parameters of an encoding module, the encoding uses H.265, then the acquired video encoding file is encrypted and recoded by using an encryption algorithm to acquire an acquired video encoding file, then the acquired video encoding file is subjected to RTP (real-time transport protocol) packaging, and is transmitted to a data receiving module by using a bottom layer network interface and a network transmission module and receives a file after the RTP packaging is decoded, and after the decoding mode adopts authorization verification, the received acquired video encoding file is dynamically decoded by using an internal decryption algorithm of a receiving device;
in the third step, the recorded phenomena of network transmission delay and jitter are transmitted to the network resource detection module through the network transmission module according to the detected video encrypted coding file received in the second step through the network condition feedback module, and the phenomena of picture blocking, screen floating, half width, frame loss and blocking of the detected video coding file received by the data receiving module are detected through the network resource detection module;
in the fourth step, the selected QoS parameters are adjusted by the adaptive policy and adjusting module according to the network transmission delay and jitter detected in the third step and the frequencies of picture pause, screen splash, half frame, frame loss and blocking of the detection video in the collected video encryption coding file, wherein the relationship function between the network state netstate and the packet loss rate pl and the delay jitter is as follows:
netstate＝NetState(pl，jitter)
setting threshold values of packet loss Rate and delay jitter as ThresL and ThresJ respectively, and comparing the packet loss Rate and the delay jitter with the threshold values of the packet loss Rate and the delay jitter respectively to adjust the code stream adjustment amplitude delta Rate in the QoS parameter, wherein the relational expression between the code stream adjustment amplitude delta Rate and the network state netstate is as follows:
wherein Delta is the video encoding rate, and then a proper QoS parameter is selected;
in the fifth step, the appropriate QoS parameters obtained in the fourth step are applied to the acquisition file acquired by the video acquisition module in the first step through the adaptive adjustment control module to complete the encoding step, and in the process of recoding and encrypting the acquired acquisition file, a detection video of 0.1s is set at certain intervals, and then the detection video is repeated to the operations of the second step, the third step and the fourth step, so that the QoS parameters can be adjusted in time.
2. The adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission according to claim 1, wherein: in the second step, the format of the detection video coding file is one of MPEG, AVI, nAII, ASF, MOV, 3GP, WMV, Divx, RM and RMVB formats.
3. The adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission according to claim 1, wherein: in the second step, the encryption algorithm is one of AES256, 512, SM2 and SM 3.
4. The adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission according to claim 1, wherein: in the third step, the network resource detection module comprises a self-adaptive dynamic network packet loss detection frame module, a self-adaptive dynamic network change monitoring frame module, an intelligent intra-frame calibration frame module and an intelligent intra-frame prediction frame module.
5. The adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission according to claim 1, wherein: in the fourth step, two parameters of packet loss rate and delay jitter are used as main judgment bases in the process of adjusting the QoS parameters.
6. The adaptive dynamic network packet loss resistant intelligent source coding method for real-time video transmission according to claim 1, wherein: in the fifth step, the time interval between the next set detection video and the last set detection video is 5 s.
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