LMS based adaptive prediction for scalable video coding
Date
2006-05
Advisor
Instructor
Source Title
IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
Print ISSN
1520-6149
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
II37 - II40
Language
English
Type
Conference Paper
Journal Title
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Volume Title
Abstract
3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least mean square (LMS) based adaptive prediction for the temporal prediction step in lifting implementation. This approach improves the overall quality of the coded video, by reducing both the blocking and ghosting artefacts. Experimental results show that the video quality as well as PSNR values are greatly improved with the proposed adaptive method, especially for video sequences with large contrast between the moving objects and the background and for sequences with illumination variations. © 2006 IEEE.
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Keywords
Adaptive systems, Image quality, Least squares approximations, Lighting, Mean square error, Compression performance, Scalability features, Video codecs, Image coding