Seon Tae Kim

Fast mode decision algorithm for inter-layer coding in scalable video coding

Scalable video coding (SVC) is currently developed as an extension of H.264/AVC. In the SVC encoder, an exhaustive search technique is employed to select the best coding mode for each macro block (MB). This technique achieves an optimal trade-off between rate and distortion, but it requires an extremely large encoding time. In this paper, we propose a fast mode decision algorithm for inter-layer coding at the enhancement layer. The proposed algorithm predicts the mode of each MB at the enhancement layer using the modes of a co-located MB and its neighboring MBs at the base layer. The proposed method can achieve a time saving of up to 74% in spatial scalability and 63% in coarse grain quality scalability with negligible loss of quality and bit rate increment.

Adaptive mode decision algorithm for inter layer coding in scalable video coding

More and more applications are being discovered for scalable video coding (SVC) in network-adaptive video streaming and storage systems. In the SVC encoder, an exhaustive search technique is employed to select the best coding mode for each macro block. This technique achieves the highest possible coding efficiency, but it results in extremely large encoding time. In this paper, we propose an adaptive fast mode decision algorithm for inter layer coding for spatial scalability and coarse grain quality scalability (CGS). In the proposed method, we select candidate modes adaptively for estimation in enhancement layer using the information of base layer and rate distortion (RD) cost of base layer skip mode. RD cost of base layer skip mode gives the correlation information of enhancement layer with base layer and base layer mode is used to reduce the number of candidate modes. We verify that the overall encoding time can be reduced up to 63 % through the analysis of experimental results.

Error Tracking Based Error Concealment Strategy for Scalable Video Coding

Scalable video coding (SVC) is a new emerging video coding standard to be released as an amendment of the H.264/AVC The SVC standard adopts four post-processing EC methods to cope with frame loss caused by transmission error. In SVC, however, there have been few studies on burst errors by which several successive frames are corrupted in noisy channels. In this paper, we first propose an error tracking model with which the concealment error and the propagation error can be estimated. Then, in order to cope with the burst error in error-prone networks, we introduce a novel error concealment (EC) strategy based on the proposed error tracking model. For each lost frame, the proposed strategy selects one of four EC methods adopted in the SVC that minimizes the visual degradation.