Inter-subband redundancy prediction using neural network for video coding

Lee, Ivan and Guan, Ling (2002). Inter-subband redundancy prediction using neural network for video coding. In: Yung-Chang Chen, Longwen Chang and Chiou-Ting Hsu, Advances in multimedia information processing, PCM 2002. 3rd IEEE Pacific Rim Conference on Multimedia, Hsinchu, Taiwan, (518-525). 16-18 December 2002.

Author Lee, Ivan
Guan, Ling
Title of paper Inter-subband redundancy prediction using neural network for video coding
Conference name 3rd IEEE Pacific Rim Conference on Multimedia
Conference location Hsinchu, Taiwan
Conference dates 16-18 December 2002
Proceedings title Advances in multimedia information processing, PCM 2002   Check publisher's open access policy
Journal name Advances in Multimedia Information Processing - Pcm 2002, Proceeding   Check publisher's open access policy
Place of Publication Berlin
Publisher Springer
Publication Year 2002
Sub-type Fully published paper
ISBN 3540002626
9783540002628
ISSN 0302-9743
Editor Yung-Chang Chen
Longwen Chang
Chiou-Ting Hsu
Volume 2532
Start page 518
End page 525
Total pages 8
Language eng
Abstract/Summary High performance video codec is mandatory for multimedia applications such as video-on-demand and video conferencing. Recent research has proposed numerous video coding techniques to meet the requirement in bandwidth, delay, loss and Quality-of-Service (QoS). In this paper, we present our investigations on inter-subband self-similarity within the wavelet-decomposed video frames using neural networks, and study the performance of applying the spatial network model to all video frames over time. The goal of our proposed method is to restore the highest perceptual quality for video transmitted over a highly congested network. Our contributions in this paper are: (1) A new coding model with neural network based, inter-subband redundancy (ISR) prediction for video coding using wavelet (2) The performance of 1D and 2D ISR prediction, including multiple levels of wavelet decompositions. Our result shows a short-term quality enhancement may be obtained using both 1D and 2D ISR prediction.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown
Additional Notes Series : Lecture notes in computer science

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Google Scholar Search Google Scholar
Created: Mon, 13 Aug 2007, 13:26:39 EST