KEYWORDS: Computer programming, Video, Video compression, Video coding, Standards development, Visualization, Quantization, Digital filtering, Image processing, Digital image processing
H.264/MPEG-4 AVC is the latest video-coding standard jointly developed by the Video Coding Expert Group (VCEG) of ITU-T and the Moving Picture Expert Group (MPEG) of ISO/IEC JTC1. It uses to enhance significantly the compression rate when compared to previous standard in the field, especially the largely adopted MPEG-2 one. However, MPEG-2 is presently overwhelmed used by the industry, and as a consequence most of the existing digital video material is encoded in this standard. This paper discuss efficient way to convert existing MPEG-2 and beyond it MPEG-1 and MPEG-4 visual material, toward H.264, what is a critical factor toward a successful H.264 deployment.
This paper describes a new vector indexing algorithm for Lattice Vector Quantization (LVQ). The technique applies to a large class of lattices such as Zn, An, Dn, or E8, widely used in signal compression. Relying on a partitioning of the events sources, based on a notion of leaders as proposed, it allows to trade vector look-up table size for arithmetic operations. At the cost of a very small number of integer arithmetic operations, The algorithm leads to a very significant reduction of the vector look-up tables. This in turn leads to reduced encoder and decoder complexities. The introduction of the concept of 'absolute' leaders, and of the corresponding coding and decoding algorithms, provides additional flexibility in trading table size for arithmetic operations. The association of these vector indexing techniques with product codes, in the framework of LVQ, leads to increased compression performances.
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