A Distributed Multi-view Video Compression Sampling and Reconstruction Method Based on Joint Spatio-temporal Side Information
A technology of multi-view video and compressed sampling, applied in the field of distributed multi-view video coding, can solve the problems of large amount of original data at the encoding end and high communication cost at the encoding end
Active Publication Date: 2021-03-16
WUHAN UNIV
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[0003] In the multi-view video system, there is a problem that the amount of raw data at the encoding end is too large
Traditional multi-view video coding uses joint cooperative compression of data between sensors to achieve high compression efficiency, which will make the communication cost at the coding end too high
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[0058] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the embodiments described here are only for explaining the present invention, not for limit the invention.
[0059] The present invention mainly aims at the application requirements of distributed compressed sensing in multi-viewpoint video compression and reconstruction. Considering the sparsity of the multi-view video frame and its temporal side information and spatial side information difference, we propose a distributed multi-view video reconstruction model based on the spatiotemporal side information residual sparsity regularization constraints, and then based on FISTA An optimization strategy solves the model to reconstruct higher quality video frames. Such as image 3 As shown, the embodiment of the p...
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The invention relates to a distributed multi-view video compression sampling reconstruction method combining space-time side information, and aims to meet the application requirements of low-complexity video acquisition coding under the condition that the computing and storage capacities of all nodes in a distributed multi-view video acquisition network are limited. Considering that continuous video frames in the same viewpoint have time correlation, the video frames of the adjacent viewpoints at the same moment have spatial correlation, and the time and space side information obtained by thetime correlation and the spatial correlation can be further characterized by sparse constraints of differences between the side information and the current frame, so that a non-key frame reconstruction optimization model in the multi-viewpoint video is generated. And finally, optimization solution is carried out through an FISTA strategy, so that non-key frame information with relatively good reconstruction quality is generated.
Description
technical field [0001] The invention belongs to the field of distributed multi-viewpoint video coding, and relates to a distributed multi-viewpoint video compression, sampling and reconstruction method, which is applicable to various multi-viewpoint video coding application scenarios with limited resources. Background technique [0002] Compared with the traditional single-view video processing system, multi-view video can provide people with more scene information. Multi-view video system has been applied in the fields of video surveillance, mobile network video communication and robotics. [0003] In the multi-view video system, there is a problem that the amount of raw data at the encoding end is too large. Traditional multi-view video coding uses joint cooperative compression of data between sensors to obtain high compression efficiency, which will make the communication cost at the coding end too high. In order to effectively reduce the complexity of video coding, insp...
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IPC IPC(8): H04N19/172H04N19/597
CPCH04N19/172H04N19/597
Inventor 田昕陈月荣李松马跃周辉
Owner WUHAN UNIV