Skip to main content
Article
A fast full-search adaptive vector quantizer for video coding
Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers
  • Scott E. Budge, Utah State University
  • Christian B. Peel, Brigham Young University
Document Type
Article
Publisher
IEEE
Location
Pacific Grove, CA
Publication Date
11-1-2001
Abstract

This paper presents a novel VQ structure which provides very good quality encoding for video sequences and exploits the computational savings gained from a fast-search algorithm. It uses an adaptive-search, variable-length encoding method which allows for very fast matching of a wide range of transmission rates. Both the encoding quality and the computational benefits from the fast-search algorithm are presented. Simulations show that full-search tree residual VQ (FTRVQ) can provide up to 3 dB improvement over a similar RVQ encoder on video sequences.

Citation Information
S. E. Budge and C. B. Peel, “A fast full-search adaptive vector quantizer for video coding,” in Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on, vol. 1, Nov. 2001, pp. 332–336.