DocumentCode
3516232
Title
Motion-compensated techniques for enhancement of low-quality compressed videos
Author
Shao, Ling ; Kirenko, Ihor ; Leitao, Andre ; Mydlowski, Piotr
Author_Institution
Philips Res. Eur., Eindhoven
fYear
2009
fDate
19-24 April 2009
Firstpage
1349
Lastpage
1352
Abstract
Algorithms for enhancement of low quality compressed videos are described and evaluated in this paper. Cascaded and combined spatio-temporal filters using hierarchical motion estimation and occlusion area detection are investigated for removal of severe coding artifacts and temporal flickering. Both objective and subjective evaluations prove that temporal filtering can significantly improve the video quality of low bit rate video sequences. The proposed methods could therefore be a differentiating feature for future IPTV design.
Keywords
data compression; filtering theory; image enhancement; image sequences; motion compensation; video coding; hierarchical motion estimation; low bit rate; low-quality compressed video enhancement; motion-compensated technique; occlusion area detection; spatio-temporal filter; video sequence; Adaptive filters; Bit rate; IIR filters; IPTV; Information filtering; Information filters; Internet; Motion estimation; Spatial resolution; Video sequences; Adaptive filters; compression artifacts removal; motion-compensated filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4959842
Filename
4959842
Link To Document