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 Chongyu Chen

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Average citations per article1.75
Citation Count7
Publication count4
Publication years2012-2017
Available for download2
Average downloads per article294.00
Downloads (cumulative)588
Downloads (12 Months)87
Downloads (6 Weeks)9
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4 results found Export Results: bibtexendnoteacmrefcsv

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1
October 2017 Journal of Visual Communication and Image Representation: Volume 48 Issue C, October 2017
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

We take depth recovery using face priors as the starting point of semantic prior guided depth recovery for non-rigid objects.We developed a joint optimization framework for employing face priors for depth recovery.Experimental results on BU4DFE dataset verified the effectiveness of the proposed method. For repairing inaccurate depth measurements from commodity ...
Keywords: Depth recovery, Image restoration, Face model

2 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Visual Understanding with RGB-D Sensors: Volume 6 Issue 2, May 2015
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 71,   Downloads (Overall): 387

Full text available: PDFPDF
Considering that the existing depth recovery approaches have different limitations when applied to Kinect depth data, in this article, we propose to integrate their effective features including adaptive support region selection, reliable depth selection, and color guidance together under an optimization framework for Kinect depth recovery. In particular, we formulate ...
Keywords: variational framework, Depth recovery, Kinect

3
January 2015 Journal of Visual Communication and Image Representation: Volume 26 Issue C, January 2015
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

We propose to apply low-rank and sparse decomposition (LRSD) for video compression.We propose an incremental LRSD (ILRSD) which facilities large-scale video processing.Our method achieves better coding efficiency compared to the state-of-the-art. Videos captured by stationary cameras are usually with a static or gradually changed background. Existing schemes are not able ...
Keywords: Video coding, CUR decomposition, Incremental low-rank and sparse decomposition, Background prediction based video coding, Background subtraction, Background subtraction based video coding, Low-rank and sparse decomposition, Stationary camera

4 published by ACM
October 2012 MM '12: Proceedings of the 20th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 5,   Downloads (12 Months): 16,   Downloads (Overall): 201

Full text available: PDFPDF
Surveillance videos are usually with a static or gradually changed background. The state-of-the-art block-based codec, H.264/AVC, is not sufficiently efficient for encoding surveillance videos since it cannot exploit the strong background temporal redundancy in a global manner. In this paper, motivated by the recent advance on low-rank and sparse decomposition ...
Keywords: low-rank and sparse decomposition, cur decomposition, surveillance video compression



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