To serve users with different bandwidth environment, the JCT-VC proposed a scalable extension of HEVC (SHVC) standard, which can implement the scalability along temporal, spatial or quality dimensions. It encode one video to one based layer (BL) and several enhancement layer (EL) bitstreams to provide scalable video consumption. To speed up the coding process, the SHVC can additionally utilize interlayer coding mode cor- relations, as compared to the HEVC that utilizes spatial, temporal, and inter-depth coding mode correlations. In this research, we investigate coding mode correlations from SHVC code-streams and find out extensive and general inter-layer mode correlations rules. Based on these extensive and general rules, we proposed two fast coding methods: (1) To fast encode one EL CU, it refers to the co-located BL CU depth to reduce the number of coding depth tests. The high and low speedup approaches adopt general but poor quality rules and extensive but good quality rules, respectively; (2) To fast encode EL PUs, the co-located BL PU modes and inter-layer mode correlations and classifications are used to specify required PU modes for test. Experiments showed that the proposed fast SHVC methods that combines the fast CU and fast PU coding procedures can reduce 76.71%and 62.7%, respectively, of processing time with the high and low speedup approaches.
The advance of video coding technology enables multiview video (MVV) or three-dimensional television (3-D TV) display for users with or without glasses. For mobile devices or wireless applications, a distributed video coder (DVC) can be utilized to shift the encoder complexity to decoder under the MVV coding framework, denoted as multiview distributed video coding (MDVC). We proposed to exploit both inter- and intraview video correlations to enhance side information (SI) and improve the MDVC performance: (1) based on the multiview motion estimation (MVME) framework, a categorized block matching prediction with fidelity weights (COMPETE) was proposed to yield a high quality SI frame for better DVC reconstructed images. (2) The block transform coefficient properties, i.e., DCs and ACs, were exploited to design the priority rate control for the turbo code, such that the DVC decoding can be carried out with fewest parity bits. In comparison, the proposed COMPETE method demonstrated lower time complexity, while presenting better reconstructed video quality. Simulations show that the proposed COMPETE can reduce the time complexity of MVME to 1.29 to 2.56 times smaller, as compared to previous hybrid MVME methods, while the image peak signal to noise ratios (PSNRs) of a decoded video can be improved 0.2 to 3.5 dB, as compared to H.264/AVC intracoding.