Reconstructing videos from multiple compressed copies

Ci Wang; Gao Yang; Yap Peng Tan

doi:10.1109/TCSVT.2009.2022790

Reconstructing videos from multiple compressed copies

Ci Wang^*
, Gao Yang
, Yap Peng Tan

^*Corresponding author for this work

Nanyang Technological University
Shanghai Jiao Tong University

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Article number	4914854
Pages (from-to)	1342-1351
Number of pages	10
Journal	IEEE Transactions on Circuits and Systems for Video Technology
Volume	19
Issue number	9
DOIs	https://doi.org/10.1109/TCSVT.2009.2022790
State	Published - Sep 2009
Externally published	Yes

Keywords

Multiple copies
Projection onto convex sets
Quantization constraint
Smoothness constraint
Video reconstruction

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10.1109/TCSVT.2009.2022790

Cite this

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abstract = "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.",

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KW - Quantization constraint

KW - Smoothness constraint

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Reconstructing videos from multiple compressed copies

Abstract

Keywords

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