JOURNAL ARTICLE

High-performance VLSI architecture for video processing

H. NavarroJuan A. Montiel–NelsonJ. SosaJosé C. GarcíaRoberto SarmientoSaeid Nooshabadi

Year: 2003 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5117 Pages: 175-175   Publisher: SPIE

Abstract

Arithmetic coding is the data compression techniques, which encodes the data by generating the code string that represents a functional value between 0 and 1. In this paper, we propose a modified-Adaptive Binary-RC (Range Coder) or M-ABRC. Our algorithm minimizes the multiplication bit capacity through introducing the VLSI architecture, proposed algorithm uses the LUP (Look UP Table)-VSW (Virtual Sliding Window) for the probability estimation. In order to achieve the higher compression rate, our method M-ABRC has been implemented, this in terms provides the better adoption probability in encoding phase and also gives the absolute estimation of low-EBS(entropy binary sources). Moreover In order to evaluate the algorithm we have compared with the several existing technique, comparison takes place based on the two parameter i.e. device utilization and the power dissipation (static and dynamic).

Keywords:
Computer science Very-large-scale integration Data compression Sliding window protocol Binary number Algorithm Entropy encoding Entropy (arrow of time) Encoding (memory) Coding (social sciences) Parallel computing Window (computing) Embedded system Arithmetic Mathematics Artificial intelligence

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Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence

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