Automatic partitioning of full-motion video
Multimedia Systems
Automatic Video Summarization by Graph Modeling
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Summarizing video using a shot importance measure and a frame-packing algorithm
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
THU-ICRC at rush summarization of TRECVID 2007
Proceedings of the international workshop on TRECVID video summarization
Clip based video summarization and ranking
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Dynamic video summarization using two-level redundancy detection
Multimedia Tools and Applications
Tag-based social image search with visual-text joint hypergraph learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Two-stage hierarchical video summary extraction to match low-level user browsing preferences
IEEE Transactions on Multimedia
IEEE Transactions on Consumer Electronics
Supervised and unsupervised classification post-processing for visual video summaries
IEEE Transactions on Consumer Electronics
A video summarization tool using two-level redundancy detection for personal video recorders
IEEE Transactions on Consumer Electronics
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
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The mushroom growth of video information, consequently, necessitates the progress of content-based video analysis techniques. Video summarization, aiming to provide a short video summary of original video document, has drawn more and more attention these years. In this paper, we propose an algorithm for video summarization based on feature comparison. Video redundant information is removed and essential content is stored based on content analysis. The Impact Factor (IF) of scene, shot and key frame is defined for video summary construction. Results of experiment applications are given to illustrate the proposed algorithm.