Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
3D motion retrieval with motion index tree
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Compressed-domain Fall Incident Detection for Intelligent Homecare
Journal of VLSI Signal Processing Systems
On Video Abstraction Systems' Architectures and Modelling
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
Key frame vector and its application to shot retrieval
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Near-lossless video summarization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
NLVS: a near-lossless video summarization system
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Hierarchical modeling and adaptive clustering for real-time summarization of rush videos
IEEE Transactions on Multimedia
Activity-driven content adaptation for effective video summarization
Journal of Visual Communication and Image Representation
Movie2Comics: a feast of multimedia artwork
Proceedings of the international conference on Multimedia
iComics: automatic conversion of movie into comics
Proceedings of the international conference on Multimedia
Efficient compression and network adaptive video coding for distributed video surveillance
Multimedia Tools and Applications
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Content-based retrieval of video surveillance scenes
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Semantic feature extraction based on video abstraction and temporal modeling
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
An automatic image inpainting method for rigid moving object
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Video abstraction based on the visual attention model and online clustering
Image Communication
Near-lossless semantic video summarization and its applications to video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Key frames are the subset of still images which best represent the content of a video sequence in an abstracted manner. In other words, video abstraction transforms an entire video clip to a small number of representative images. We present a scheme for object-based video abstraction facilitated by an efficient video-object segmentation (VOS) system. In such a framework, the concept of a "key frame" is replaced by that of a "key video-object plane (VOP)." In order to achieve an online object-based framework such as an object-based video surveillance system, it becomes essential that semantically meaningful video objects are directly accessed from video sequences. Moreover, the extraction of key VOPs needs to be automated and context dependent so that they maintain the important contents of the video while removing all redundancies. Once a VOP is extracted, the shape of the VOP needs to be well described. To this end, both region-based and contour-based shape descriptors are investigated, and the region-based descriptor is selected for the proposed system. The key VOPs are extracted in a sequential manner by successive comparison with the previously declared key VOP. Experimental results on the proposed online processing scheme combined with efficient VOS show the proposed integrated scheme generates desirable summarizations of surveillance videos.