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Compact Video Synopsis via Global Spatiotemporal Optimization
PrePrint
ISSN: 1077-2626
Yongwei Nie, Wuhan University, Wuhan
Chunxia Xiao, Wuhan University, Wuhan
Hanqiu Sun, The Chinese University of Hong Kong, Hong Kong
Ping Li, The Chinese Unversity of Hong Kong, Hong Kong
Video synopsis aims at providing condensed representations of video datasets that can be easily captured from digital cameras nowadays, especially for daily surveillance videos. Previous work in video synopsis usually moves active objects along the time axis, which inevitably causes collisions among the moving objects if compressed much. In this paper, we propose a novel approach for compact video synopsis using a unified spatiotemporal optimization. Our approach globally shifts moving objects in both spatial and temporal domains, which shifting objects temporally to reduce the length of the video and shifting colliding objects spatially to avoid visible collision artifacts. Furthermore, using a multi-level patch relocation method, the moving space of the original video is expanded into a compact background based on environmental content to fit with the shifted objects. The shifted objects are finally composited with the expanded moving space to obtain the high-quality video synopsis, which is more condensed while remaining free of collision artifacts. Our experimental results have shown that the compact video synopsis we produced can be browsed quickly, preserves relative spatiotemporal relationships, and avoids motion collisions.
Index Terms:
Spatiotemporal phenomena,Surveillance,Optimization,Visualization,Space vehicles,Context,Trajectory,Image Processing and Computer Vision,Computing Methodologies,Computer Graphics
Citation:
Yongwei Nie, Chunxia Xiao, Hanqiu Sun, Ping Li, "Compact Video Synopsis via Global Spatiotemporal Optimization," IEEE Transactions on Visualization and Computer Graphics, 07 Sept. 2012. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.176>
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