Prediction In High Efficiency Video Coding Research Articles

Advanced multimedia service provisioning based on efficient interoperability of adaptive streaming protocol and high efficient video coding

The popularity of the new standard H.265 (High Efficiency Video Coding) depends on two factors: the rapidity of deploying clients for the most outstanding platforms and the capacity of service providers to develop efficient encoders for serving demanding multimedia services such as Live TV. Both encoders and decoders should inter-operate efficiently with the streaming protocols to limit the risks of implementation incompatibilities.This paper presents a synergy framework between High Efficiency Video Coding (HEVC) and Dynamic Adaptive Streaming over HTTP (DASH) that increases the compression capabilities of the encoder and opens new parallel encoding points for accelerating the video content coding and formatting processes. The synergy takes advantage of inter-motion prediction in HEVC for delimiting the segments of DASH protocol, which increases the motion compensation in each segment. Moreover, the impact of encoding multiple DASH representations is limited due to the parallel encoding presented in this paper.

Piecewise DC prediction in HEVC

In this paper, we propose an improved DC prediction method for high-efficiency video coding (HEVC) intra coding. The technique involves the application of pixel-wise predictors rather than block-based predictor in the DC mode. In HEVC, the pixels of neighboring reconstructed blocks are used to support multiple directional spatial prediction modes and reduce spatial redundancy. For lossless coding, pixel-by-pixel differential pulse code modulation (DPCM) is applied to directional predictions. Consequently, residuals are reduced and coding efficiency is improved. Since DC prediction still employs block-based coding, pixel-wise DC prediction is needed for better coding efficiency. When compared to HEVC lossless intra coding, the proposed algorithm reduces the bit rate by 5.95%. Furthermore, with pixel-by-pixel DPCM, the average bit rate reduction is 10.64% when compared to HEVC lossless intra coding.

Just Noticeable Difference Based Fast Coding Unit Partition in HEVC Intra Coding

As an ongoing video compression standard, High Efficiency Video Coding (HEVC) has achieved better rate distortion performance than H.264, but it also leads to enormous encoding complexity. In this paper, we propose a novel fast coding unit partition algorithm in the intra prediction of HEVC. Firstly, instead of the time-consuming rate distortion optimization for coding mode decision, just-noticeable-difference (JND) values can be exploited to partition the coding unit according to human visual system characteristics. Furthermore, coding bits in HEVC can also be considered as assisted information to refine the partition results. Compared with HEVC test model HM10.1, the experimental results show that the fast intra mode decision algorithm provides over 28% encoding time saving on average with comparable rate distortion performance.

Pixel based illumination compensation for inter prediction in HEVC

Weighted prediction and illumination compensation are key technologies for inter prediction in a video codec. They increase coding efficiency when the brightness of objects in a sequence fluctuates. Since most conventional methods compensate for illumination changes at slice-level, they are not effective to code general sequences which have no illumination change. Proposed is a pixel based illumination compensation (PBIC) scheme which is applied to the selected pixels adaptively. The optimal IC parameters are calculated considering characteristics of each block whereas parameters of the conventional schemes are optimised for a slice. From the simulation results, it is concluded that the proposed PBIC improves the coding efficiency of high efficiency video coding (HEVC).