SCALABLE SHAPE CODING OF VIDEO OBJECTS USING TEMPORAL PREDICTION (ThuAmOR6)

Author(s) : Mingyou Hu (CCSR, University of Surrey, United Kingdom) Stewart Worrall (CCSR, University of Surrey, United Kingdom) Abdul Sadka (CCSR, University of Surrey, United Kingdom) Ahmet Kondoz (CCSR, University of Surrey, United Kingdom)

Abstract : Scalable shape encoding is one of the important steps to achieve highly scalable object-based video coding. In this paper, a new scalable vertex-based shape coding scheme has been proposed using temporal prediction. During the shape coding of a video object sequence, the object shape in the first frame is scalable intra-coded using the method in [1]. For the scalable shape coding of the subsequent frames, temporal prediction is conducted during the coding of coarser layers. Contour matching in the curvature scale space domain is conducted in order to get higher matching accuracy. Experimental results show that the proposed scalable shape coding scheme can achieve better R-D performance than existing predictive shape coding methods [2] and CAE in MPEG-4 [3].

Menu