August 2014 Issue Vol.4 No.8
M.Tech Student,Department of ECE, Gudlavalleru Engineering College, Gudlavalleru -521356,A.P,INDIA
Assistant Professor,Department of ECE, Gudlavalleru Engineering College, Gudlavalleru -521356,A.P,INDIA
Abstract: This paper presents a novel approach to Video Compression in H.264/MPEG-4 Advanced Video Coding (AVC) compressed video streams for Spatial Correlation.We present a new video compression approach which tends to hard exploit the pertinent temporal redundancy in the video frames to improve compression efficiency with minimum processing complexity.There are two new intramodes are developed to better exploit spatial correlation. The first is the residual scalar quantization (RSQ) mode, second is the base colors and index map (BCIM) mode that can be viewed as an adaptive color quantization. Every block selects its coding mode from two new modes and the previous intramodes in H.264 by rate-distortion optimization (RDO).This transformation turns the spatial temporal correlation of the video into high spatial correlation.Indeed, this technique transforms each group of pictures to one picture eventually with high spatial correlation. Thus, the decorrelation of the resulting pictures by the DCT makes efficient energy compaction and therefore produces a high video compression ratio. Many experimental tests had been conducted to prove the method efficiency especially in high bit rate and with slow motion video. The proposed method seems to be well suitable for video surveillance applications and for embedded video compression systems.
Keywords: H.264, AVC, video compression, inter mode decision.