Paper Info
Title
Low bit rate wavelet video codec using edge based motion estimation and context-based coding
Abstract
This paper presents a new wavelet-based video codec for very low bit rate coding, where each frame of the test sequence is transformed using discrete wavelet transformation. The hierarchical edge based motion estimation is applied between adjacent transformed frames. The aim is to reduce the computational complexity of a motion estimation algorithm and to preserve coding efficiency. The edge detection is incorporated into the motion estimation process in order to determine the moving regions. The edge is assumed as a point between two different moving areas in the proposed motion estimation algorithm. All transformed frames are quantized and prediction errors are coded using quantization and probability models designed with fuzzy logic. This proposed method is comparable with the H.26L video coding standard in the rate distortion sense, and has lower computational complexity than the H.26L standard. (C) 2004 SPIE and IST.
Year
DOI
Venue
2004
10.1117/1.1786296
JOURNAL OF ELECTRONIC IMAGING
Keywords
Field
DocType
motion estimation,quantization,wavelets,video,fuzzy logic
Computer vision,Block-matching algorithm,Quarter-pixel motion,Computer science,Motion compensation,Artificial intelligence,Motion estimation,Quantization (signal processing),Rate–distortion optimization,Codec,Wavelet
Journal
Volume
Issue
ISSN
13
4
1017-9909
Citations 
PageRank 
References 
0
0.34
22
Authors
3
Name
Order
Citations
PageRank
Dusan Gleich1246.92
P. Planinšič2277.70
Zarko Cucej3183.59