Multiview Video Coding Algorithm Based on HBP Prediction Structure

Abstract

To reduce the heavy computational complexity of uni-directional and bi-directional predictions in multiview video coding (MVC), this paper proposes a multiview video coding algorithm. Uni-directional prediction is optimized. By using the geometry relationship between disparity and motion vectors, an iterative process is preformed. In each process, a new adaptive search range is used to revise motion/disparity vector. At last, optimal motion and disparity vectors are achieved. For bi-directional prediction, TZSearch algorithm is utilized to accelerate prediction. Furthermore, an early termination strategy is devised on the basis of relationships among bi-directional prediction, model error, quantization parameter and temporal level. Experimental results show that computational complexity can be significantly reduced while maintaining video coding performance compared with JMVC full search algorithm.