NDLI: Motion-aware temporal coherence for video resizing

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Motion-aware temporal coherence for video resizing

Content Provider	ACM Digital Library
Author	Wang, Yu-Shuen Sorkine, Olga Seidel, Hans-Peter Fu, Hongbo Lee, Tong-Yee
Abstract	Temporal coherence is crucial in content-aware video retargeting. To date, this problem has been addressed by constraining temporally adjacent pixels to be transformed coherently. However, due to the motion-oblivious nature of this simple constraint, the retargeted videos often exhibit flickering or waving artifacts, especially when significant camera or object motions are involved. Since the feature correspondence across frames varies spatially with both camera and object motion, motion-aware treatment of features is required for video resizing. This motivated us to align consecutive frames by estimating interframe camera motion and to constrain relative positions in the aligned frames. To preserve object motion, we detect distinct moving areas of objects across multiple frames and constrain each of them to be resized consistently. We build a complete video resizing framework by incorporating our motion-aware constraints with an adaptation of the scale-and-stretch optimization recently proposed by Wang and colleagues. Our streaming implementation of the framework allows efficient resizing of long video sequences with low memory cost. Experiments demonstrate that our method produces spatiotemporally coherent retargeting results even for challenging examples with complex camera and object motion, which are difficult to handle with previous techniques.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781605588582
DOI	10.1145/1661412.1618473
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-12-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spatial and temporal coherence Video retargeting Optimization
Content Type	Text
Resource Type	Article

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