Improved big data video high-fidelity transmission coding regulation and control method

Abstract

The invention provides an improved root code rate layer coding regulation and control method, which simultaneously uses information of an intra-frame coded unit and information of an inter-frame coded unit, defines root code rate content characteristics, introduces an intra-frame prediction model and an inter-frame prediction model, and determines to use a corresponding prediction mode according to model weights. A target bit allocation and model variable updating method based on intra-frame prediction and a model variable updating method based on inter-frame prediction are provided; and finally, an improved video transmission coding regulation and control method process is provided on the whole, and target bit allocation based on the prediction model and model variable updating based on the prediction model are realized. According to the method, the error between the actual code rate and the target code rate is very small, and the coding regulation and control accuracy is very high; the quality of a video after coding is better than that of a video obtained by a JCTVC-H0213 method and a video obtained by a JCTVC-K0103 method; the image quality volatility is smaller, the rate distortion performance is better, and the method has a huge market application prospect.

Description

technical field [0001] The present application relates to a big data video transmission coding control method, in particular to an improved big data video high fidelity transmission coding control method, which belongs to the technical field of video transmission coding control. Background technique [0002] With the rapid development of smart devices and the Internet, today's society has entered the digital information age, and digital terminal devices such as tablet computers and smart phones have been widely used in the lives of ordinary people. Due to the increasing demand of people to watch videos through mobile terminal devices, many video providers have launched various video services, such as HDTV, IPTV, online HD movie on-demand services and so on. Because digital information is more stable and easy to store and transmit, video is generally stored and transmitted by digital information. However, the data volume of video information is huge, especially high-definiti...

AI Technical Summary

Problems solved by technology

[0008] (1) The data volume of current video information is huge. At the same time, due to the limitation of bandwidth, especially the bandwidth of mobile communication, the loss and delay of video information in the transmission process are caused. The two seriously affect the experience of video users. The current video compression coding It cannot fully meet the needs of the rapid development and expansion of the digital video industry. The limited capacity of the communication channel is always the bottleneck of the rapid development of the digital video industry. It is impossible to obtain the optimal video quality on the communication channel with limited capacity; Channel capacity, the lack of precise methods to control the transmission bit rate of digital video often leads to the transmission bit rate exceeding the channel capacity, resulting in information loss or delay, or the bit rate cannot reach the channel capacity, and the best video quality cannot be obtained

There is no specific method to achieve the minimum distortion through video compression coding at a given transmission bit rate. When the bit rate is limited to a specific value, it is impossible to improve the compression coding accuracy as much as possible under the premise of ensuring the accuracy of coding regulation. video quality

[0009] (2) Due to the limitation of the capacity of the transmission channel and the user's requirements for transmission delay, the accuracy and efficiency of the video compression coding process in the prior art cannot fully meet the requirements, and there is a lack of constraints on the target code rate. By selecting the best A series of encoding variables, so that the output bit rate after compression encoding conforms to the established target bit rate, and at the same time make the encoded video quality as good as possible; the quantization variable QP used in encoding is the main factor affecting the output bit rate. The methods in the prior art cannot determine the quantization variables required for video encoding according to a given target bit rate, resulting in relatively large errors in encoding regulation, reduced objective quality of video, poor rate-distortion performance, and large fluctuations in image quality , cannot meet the needs of the current high-speed development of ultra-clear video

[0010] (3) The encoding control method of pre-encoding in the prior art can quickly and accurately control the output code rate, but the complexity of the method is high, and it is not suitable for videos with violent motion characteristics; the encoding control method of pre-analysis is very complex High, not suitable for practical applications; the information used by the feedback correction encoding control method is the information generated by the encoding itself, and does not require additional calculations, so the complexity of the method is low, and the output code rate cannot be controlled efficiently; the existing technology There is a lack of a model construction and precise definition of concepts, including root rate content characteristics, definition of intra prediction methods, and methods of defining prediction models; lack of target bit allocation methods based on intra prediction and target bit allocation methods based on prediction models, lack of The model variable update method of inter-frame and intra-frame prediction, and the model variable update method based on the prediction model, resulting in low quality video with large amount of data

[0011] (4) The existing technology lacks an effective root rate layer encoding control method, which cannot use the information of the encoded unit in the frame and the information of the encoded unit in the frame at the same time, lacks the definition of the content characteristics of the root rate, and does not introduce into the frame The prediction model and the inter-frame prediction model cannot determine the corresponding prediction method according to the weight of the model, lack of target bit allocation and model variable update methods based on intra-frame prediction, and model variable update methods based on inter-frame prediction; cannot realize prediction-based The target bit allocation of the model and the model variable update based on the prediction model; the error between the actual bit rate and the target bit rate of the existing technology is large, and the accuracy of encoding regulation is low; the video quality after encoding of the existing technology is not good enough, and the image quality Large fluctuations and poor rate-distortion performance, resulting in loss and delay of video information during transmission, seriously affecting user experience and hindering the development and growth of the digital video industry

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