An Adaptable ES based motion estimation technique for 3D integral video compression

Abstract

In this paper we propose an efficient approach to use an adaptable ES algorithm to compress motion information of 3D integral video sequences. The integral video sequence is decomposed into 8 viewpoint video sequences and a block search is performed to exploit the motion estimation redundancies between neighboring blocks to maximize the compression. An adaptable evolutionary strategy (ES) based search algorithm is used to reduce the coding complexity. Experimental results show that the ES based strategy can reduce the motion estimation complexity by 90%.