Proceedings of the 15th international conference on Multimedia
Motion-aware temporal coherence for video resizing
ACM SIGGRAPH Asia 2009 papers
Multi-video synopsis for video representation
Signal Processing
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 02
Video condensation by ribbon carving
IEEE Transactions on Image Processing
Video tapestries with continuous temporal zoom
ACM SIGGRAPH 2010 papers
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Motion-focusing key frame extraction and video summarization for lane surveillance system
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Journal of Visual Communication and Image Representation
Real time tunnel based video summarization using direct shift collision detection
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
MeshFlow: interactive visualization of mesh construction sequences
ACM SIGGRAPH 2011 papers
Information-based adaptive fast-forward for visual surveillance
Multimedia Tools and Applications
Sequence-kernel based sparse representation for amateur video summarization
J-MRE '11 Proceedings of the 2011 joint ACM workshop on Modeling and representing events
Efficient scale-space spatiotemporal saliency tracking for distortion-free video retargeting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Video composition by optimized 3D mean-value coordinates
Computer Animation and Virtual Worlds
State of the Art Report on Video-Based Graphics and Video Visualization
Computer Graphics Forum
Summarizing high-level scene behavior
Machine Vision and Applications
Key observation selection-based effective video synopsis for camera network
Machine Vision and Applications
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Conventional video summarization methods focus predominantly on summarizing videos along the time axis, such as building a movie trailer: The resulting video trailer tends to retain much empty space in the background of the video frames while discarding much informative video content due to size limit. In this paper we propose a novel spacetime video summarization method which we call space-time video montage. The method simultaneously analyzes both the spatial and temporal injbrmation distribution in a video sequence, and extracts the visually informative space-time portions of the input videos. The informative video porlions are represented in volumetric layers. The layers are then packrd together in a smull ouzput video volume such that the total amount of visual information in the video volume is maximized. To achieve the packing process, we develop a new algorithm based upon the first-fit and Graph cut optimization techniques. Since our method is uble to cut off spatially und temporally less informative portions, it is uble to generate much more compact yet highly informative output videos. The effecliveness of our method is validated by extensive experiments over a wide variety of videos.