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Zhuoying Zeng

Zhuoying Zeng

China Acadamy of Electronics and Information Technology, China

Title: A fast encoder of frame-compatible format based on content similarity for 3D distribution

Biography

Biography: Zhuoying Zeng

Abstract

Frame compatible format (FCF), which multiplexes the left and right eye views in to one frame spatially, has been considered as one of the most promising solutions for 3D video broadcasting. In this paper, a fast algorithm exploiting the content similarity is proposed to reduce the computational complexity for coding FCF. A low complexity average shift estimation method is proposed to find the matching blocks in the two inter leaved views, based on which mode candidate sets are designed for accelerating intra and interceding of the second inter leaved view (the inter leaved view at the bottom/right in FCF)by exploiting inter-view correlations. The proposed algorithm achieves an average of 72.45% reduction in Intra coding complexity and an average of 81.08% reduction in Inter coding complexity for the second inter leaved view, respectively, with negligible loss in compression efficiency. By combining with conventional fast algorithms, that is applying an conventional fast algorithm to code the view on the top/left and the proposed one to code the view on the bottom/right,the whole encoder provides up to 5.44 times higher encoding speed relative to applying the conventional algorithm solely to the whole frame with negligible performance degradation.