Video image coding compression efficiency improving method based on reinforcement learning

A video image, reinforcement learning technology, applied in the field of image coding, deep learning, and video coding, can solve problems such as the inability to obtain the global optimal solution, the difficulty of generating labels with machine learning methods, etc., to achieve good practical significance and industrial value, easy to implement. , fast effect

Active Publication Date: 2019-10-18
杭州微帧信息科技有限公司
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Problems solved by technology

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 for training

Method used

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  • Video image coding compression efficiency improving method based on reinforcement learning
  • Video image coding compression efficiency improving method based on reinforcement learning

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Embodiment Construction

[0017] 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.

[0018] 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,

[0019] 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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Abstract

The invention discloses a video image coding compression efficiency improving method based on reinforcement learning. The method comprises: optimizing key coding strategy parameters for different image content blocks; creating neural networks, namely a prediction network and a discrimination network, which are respectively used for predicting the strategy value and discriminating the strategy value; the prediction network being used as a preprocessing module of the encoder to input the original pixel value of the image and output the optimal strategy parameter of each block of the image without the feedback of the encoder; wherein the coding result score is a compression efficiency comprehensive score obtained after the whole frame of video image or the whole section of video image is coded. The whole link is weakly coupled with an encoder, is easy to implement, can be combined with mainstream video or image encoding standards, and effectively improves the encoding compression efficiency. The method only needs to predict the network execution decision process during coding, is high in speed, and is higher in 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 data volume of the original video source makes the existing transmission network bandwidth and storage resources unbearable. Therefore, the compression of video signal 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 redundant information between video signals. So far, domestic and foreign standardization organizations have successively formulated a variety of different video coding standards. Since the H.261 video coding standard, the mainstream video coding standards have...

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Application Information

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Patent Type & Authority Applications(China)
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
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