Spatial and Temporal Data Parallelization of Multi-view Video Encoding Algorithm

Abstract

Multi-view video coding technology is proposed to resolve the problem of huge data storage and transmission for free-view and 3D interactive video. How to support real time multi-view video encoding which has high computing complexity with sharply increased multi-view video data is essential In this paper, we proposed a solution of spatial and temporal data parallelization for multi-view video encoding algorithm based on IBM cell multiprocessor system using selections of optimal theories & methods. The performance of our tasks distributing scheme is eight times faster than the serial algorithm, speedup is notable.