| Paper: | IMDSP-L2.4 | ||
| Session: | Video Coding | ||
| Time: | Tuesday, May 16, 15:00 - 15:20 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Video Coding | ||
| Title: | LMS Based Adaptive Prediction for Scalable Video Coding | ||
| Authors: | Behcet Ugur Toreyin, Bilkent University, Turkey; Maria Trocan, Beatrice Pesquet-Popescu, ENST, France; A. Enis Cetin, Bilkent University, Turkey | ||
| Abstract: | Motion-compensated temporal filtering (MCTF) subband 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 motion-compensated 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. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012