Adaptive competition for motion vector prediction in multi-view video coding

Abstract

An adaptive competition method is proposed in order to increase the accuracy of a motion vector (MV) prediction in multi-view video coding (MVC). Motion vector predictors for INTER mode and SKIP (DIRECT) mode is optimally selected from a given adaptive set of predictors by a slightly modified rate-distortion criterion. The adaptive set of the predictor candidates is determined, based on the analysis of the predictors according to their prediction structures. The analyzed predictors include spatial, temporal, and inter-view predictors. The proposed scheme leads to the accurate and efficient MV prediction compared to the MVC reference software, JMVC 6.0. As a result, bit-rates are decreased by nearly 5% in average, up to 7.6%, in terms of the Bjontegaard Metric.