TY - JOUR
T1 - Reconstructing videos from multiple compressed copies
AU - Wang, Ci
AU - Yang, Gao
AU - Tan, Yap Peng
PY - 2009/9
Y1 - 2009/9
N2 - A single source video may be compressed using different encoders with different settings. In the context of online video sharing, many such video copies exist, and an end user may have access to a few of them and would like to reconstruct a video sequence with quality superior to all available copies. In this paper, we propose a scheme to improve the video quality by projecting the reconstructed video onto the quantization constraint sets defined by multiple video copies. Experimental results show that the proposed method is capable of improving video quality both subjectively and objectively.
AB - A single source video may be compressed using different encoders with different settings. In the context of online video sharing, many such video copies exist, and an end user may have access to a few of them and would like to reconstruct a video sequence with quality superior to all available copies. In this paper, we propose a scheme to improve the video quality by projecting the reconstructed video onto the quantization constraint sets defined by multiple video copies. Experimental results show that the proposed method is capable of improving video quality both subjectively and objectively.
KW - Multiple copies
KW - Projection onto convex sets
KW - Quantization constraint
KW - Smoothness constraint
KW - Video reconstruction
UR - https://www.scopus.com/pages/publications/70349451440
U2 - 10.1109/TCSVT.2009.2022790
DO - 10.1109/TCSVT.2009.2022790
M3 - 文章
AN - SCOPUS:70349451440
SN - 1051-8215
VL - 19
SP - 1342
EP - 1351
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 9
M1 - 4914854
ER -