Title :
Improvement of H.264 SVC by model-based adaptive resolution upconversion
Author :
Wu, Xiaolin ; Shao, Mingkai ; Zhang, Xiangjun
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Abstract :
H.264 SVC extension, as the state of art scalable video coding standard, can offer a single code stream to serve diverse communication bandwidths and display resolutions. However, the rate-distortion performance of H.264 SVC is still inferior to the non-scalable H.264 AVC. To reduce the performance gap between H.264 SVC and H.264 AVC, we propose a model-based adaptive resolution upconversion algorithm to improve the precision of the H.264 SVC inter-layer prediction. The new algorithm treats the up-sampling of video frames as an inverse problem of initial H.264 SVC down-sampling operation, and it significantly improves the performance of current H.264 SVC by optimally reversing the down-sampling filter.
Keywords :
video coding; video streaming; H.264 SVC; adaptive resolution upconversion; down-sampling filter; rate-distortion performance; single code stream; video coding; Automatic voltage control; Estimation; Mathematical model; Pixel; Spatial resolution; Static VAr compensators; Video coding; Scalable video coding; inter-layer prediction; inverse problem; resolution upconversion;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5650774