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Image Transmission Method Based on Prediction Reconstruction and Progressive Remote Rendering

机译:基于预测重构和渐进式远程渲染的图像传输方法

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In this paper, an efficient remote rendering image transmission method based on the network instability or the excessive number of users in the network is proposed--a pre-computation reconstruction and a progressive rendering image transmission method, which fully utilizes the user's actual operation Continuity and strong correlation between consecutive frames in scene rendering. The user actions are divided into perspective rotation and viewpoint movement. When the perspective rotates, some key frames are selected for transmission. The receiver then uses a series of prior conditions to predict and reconstruct non-key frames based on these key frames; when the viewpoint moves forward, The current frame is predicted using the information of the previous frame, and only the difference between the actual current frame and the predicted frame is transmitted during the transmission, which effectively reduces the amount of data transmission; when the viewpoint is moved backward, the previous frame is used first for the current The central area of the frame is predicted, and then the difference between the actual data and the prediction data of the central area and the new part of the field of view of the image edge are transmitted, thereby greatly reducing the amount of data that needs to be transmitted in the network transmission process.
机译:本文提出了一种基于网络不稳定性或网络中用户过多的有效远程渲染图像传输方法-一种预计算重构和渐进式渲染图像传输方法,充分利用了用户的实际操作连续性以及场景渲染中连续帧之间的强相关性。用户动作分为透视旋转和视点移动。透视图旋转时,将选择一些关键帧进行传输。然后,接收器使用一系列先决条件,根据这些关键帧预测和重构非关键帧。当视点向前移动时,利用前一帧的信息对当前帧进行预测,在传输过程中仅传输当前当前帧与预测帧之间的差异,有效减少了数据传输量。当视点向后移动时,当前帧将首先使用前一帧。先预测帧的中心区域,然后再预测中心区域和新视场的实际数据与预测数据之差传输图像边缘的像素,从而大大减少了网络传输过程中需要传输的数据量。

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