Paper Info
Title
A Local Statistics Adaptive Entropy Coding Method For The Improvement Of H.26l Vlc Coding
Abstract
In this paper, we propose an adaptive entropy coding method to improve the VLC coding efficiency of H.26L TML-1 codec. First of all, we will show that the VLC coding presented in TML-1 does not satisfy the sibling property of entropy coding. Then, we will modify the coding method into the local statistics adaptive one to satisfy the property. The proposed method based on the focal symbol statistics dynamically changes the mapping relationship between symbol and bit pattern in the VLC table according to sibling property. Note that the codewords in the VLC table of TML-1 codec is not changed. Since this changed mapping relationship also derived in the decoder side by using the decoded symbols, the proposed VLC coding method does not require any overhead information. The simulation results show that the proposed method gives about 30% and 37% reduction in average bit rate for MB type and CBP information, respectively.
Year
DOI
Venue
2000
10.1117/12.386674
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2000, PTS 1-3
Keywords
Field
DocType
Huffman code, VLC coding, entropy, adaptive entropy coding, H.26L, TML-1 (test model long term)
Tunstall coding,Entropy encoding,Computer science,Algorithm,Theoretical computer science,Coding (social sciences),Huffman coding,Overhead information,Shannon–Fano coding,Codec,Variable-length code
Conference
Volume
ISSN
Citations 
4067
0277-786X
2
PageRank 
References 
Authors
0.64
1
4
Name
Order
Citations
PageRank
Kook-Yeol Yoo17214.86
Jong D. Kim220.97
Byung-Sun Choi3222.93
Yung Lyul Lee45715.09