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In this paper, we describe an adaptive lossless compression algorithm for color video sequences utilizing backward adaptive temporal prediction and an integer wavelet transform. We exploit two redundancies in color video sequences, specifically spatial and temporal redundancies. We show that an adaptive scheme exploiting the two redundancies has better(More)
To support high quality video applications, the Joint Video Team (JVT) has recently added five new profiles, two new supplemental enhancement information (SEI) messages, and two new extended gamut color space indicators to the MPEG4-AVC/H.264 video coding standard. The new profiles include substantial feature enhancements for high-quality video(More)
Park, Sahng-Gyu. Ph.D., Purdue University, December, 2003. ADAPTIVE LOSSLESS VIDEO COMPRESSION. Major Professor: Edward J. Delp. In this thesis, a new lossless adaptive compression algorithm for color video sequences is described. There are three types of redundancy in color video sequences: spatial, spectral and temporal redundancy. Our approach is to(More)
Background/foreground segmentation has a lot of applications in image and video processing. In this paper, a segmentation algorithm is proposed which is mainly designed for text and line extraction in screen content. The proposed method makes use of the fact that the background in each block is usually smoothly varying and can be modeled well by a linear(More)
This paper presents a low-complexity lossless screen content coding method on top of a well structured dictionary based solution DictSCC. Both methods are implemented on the emerging High-Efficiency Video Coding (HEVC) Range Extensions (RExt) to demonstrate the coding efficiency. Compared with the DictSCC our scheme further explores the 2D correlation(More)