Mobile equipment panoramic video playing system based on deep reinforcement learning
A panoramic video and reinforcement learning technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of inconvenient use, inconvenient carrying, heavy weight, etc., to reduce bandwidth consumption, avoid video stagnation, and smooth The effect of playing
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[0042] The code rate selection process of the code rate selection module is similar to the Markov decision process, that is, the next action and state are only determined by the current state. The deep reinforcement learning method is used to solve this problem. The network conditions, the file size to be downloaded for each version definition of the next time slice, the video buffer conditions, and the motion speed are defined as the state, and the bit rate selection of each panoramic video block is defined as the action, the user experience obtained, and the buffer The occupancy situation is defined as reward, build a reinforcement learning model, and then put it into training, and finally get a bit rate selection module, which can dynamically select the next moment according to the current state, and present the video block that needs to be obtained for each block of the video clarity version.
[0043] The specific playback process of the panoramic video is as follows. Firs...
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