A method for improving the efficiency of video image coding and compression based on reinforcement learning
A video image and reinforcement learning technology, applied in the fields of video coding, image coding and deep learning, can solve problems such as inability to obtain the global optimal solution and difficulty in generating labels, achieve good practical significance and industrial value, fast speed, and improve compression efficiency effect
Active Publication Date: 2021-05-25
杭州微帧信息科技有限公司
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The invention solves the problem that the traditional method cannot obtain the global optimal solution, and the machine learning method is difficult to generate labels to
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[0023] The following examples will be used in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0024] The method for improving video image encoding and compression efficiency based on reinforcement learning in the present invention specifically optimizes the encoding strategy parameters for adapting image block content, including the following steps,
[0025] Step (1), create prediction network and discriminant network, and complete network parameter initialization. The prediction network is responsible for determining the optimal value of the coding strategy parameters corresponding to the image block, and its input is the original pixel value of the image group; the discriminant network is responsible for distinguishing whether the prediction value generated by the prediction network is good or bad, and i...
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The invention discloses a video image coding compression efficiency improvement method based on reinforcement learning, which optimizes key coding strategy parameters for different image content blocks. Create neural networks for predicting policy values and judging whether the policy values are good or bad, that is, predictive network and discriminative network. As the pre-processing module of the encoder, the prediction network inputs the original pixel value of the image and outputs the optimal strategy parameters for each block of the image, without feedback from the encoder. The encoding result score is a comprehensive score of compression efficiency obtained after encoding the entire frame of video image or the entire segment of video image. The entire link is weakly coupled with the encoder, easy to implement, and can be combined with mainstream video or image encoding standards to effectively improve encoding and compression efficiency. The present invention only needs to predict the decision-making process performed by the network during encoding, and has high speed and high robustness.
Description
technical field [0001] The invention relates to video coding, image coding and deep learning, in particular to a method for improving video image coding compression efficiency based on reinforcement learning. Background technique [0002] With the continuous development of multimedia digital video applications and the continuous improvement of people's demand for video cloud computing, the original [0003] The data volume of the video source makes the existing transmission network bandwidth and storage resources unbearable. Therefore, the compression of the video signal has been [0004] It has become one of the hot spots of academic research and industrial application at home and abroad. Video compression, also known as video coding, aims to eliminate [0005] Redundant information that exists between video signals. So far, domestic and foreign standardization organizations have successively formulated a variety of different video coding standards. [0006] standard. ...
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IPC IPC(8): H04N19/124H04N19/176H04N19/70
CPCH04N19/124H04N19/176H04N19/70
Inventor 陈宇梅元刚金星朱政丁丹丹
Owner 杭州微帧信息科技有限公司