Variable Block-size Based Fractal Coding for Multi-view Video Coding

Multi-view video consists of a set of multiple video sequences from multiple viewpoints or view directions in the same scene. It contains extremely a large amount of data and some extra information to be stored or transmitted to the user and computational complexity of processing. This paper proposes fast disparity and motion estimation for reduce complexity, to solve the redundancy reduction problem by considering the information of regions, and set up priority among region based on information in the pre-processing. The proposed method makes some changes to the conventional fractal-based video coding method which vary block partition depends on priory region. Experimental results show that the proposed method can reduce the encoding time, so that the encoder complexity can be reduced but achieves almost the same compression quality. The encoding time is reduced up to 25.4%.