Abstract
In this paper we propose a novel approach to use both motion and disparity information to compress 3D integral video sequences. The integral video sequence is decomposed into 8 viewpoint video sequences and a block search is performed to jointly exploit the motion and disparity redundancies to maximize the compression. An evolutionary strategy (ES) based search algorithm is used to reduce the complexity. Experimental results show that an ES based strategy can reduce the motion estimation complexity by 95%.
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