International Journal of Computer Vision
Video summarization by curve simplification
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Quality is in the eye of the beholder: meeting users' requirements for Internet quality of service
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
The evaluation of normalized cross correlations for defect detection
Pattern Recognition Letters
Keyframe-based video summarization using Delaunay clustering
International Journal on Digital Libraries
ZNCC-based template matching using bounded partial correlation
Pattern Recognition Letters
Semantic video summarization in compressed domain MPEG video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Proceedings of the 15th international conference on Multimedia
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
Making colors worth more than a thousand words
Proceedings of the 2008 ACM symposium on Applied computing
The trecvid 2008 BBC rushes summarization evaluation
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Robust Estimation of Camera Motion Using Optical Flow Models
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
An efficient summarization algorithm based on clustering and bitstream extraction
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
STIMO: STIll and MOving video storyboard for the web scenario
Multimedia Tools and Applications
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
Pattern Recognition Letters
Rapid Video Summarization on Compressed Video
ISM '10 Proceedings of the 2010 IEEE International Symposium on Multimedia
Perceptually uniform color spaces for color texture analysis: an empirical evaluation
IEEE Transactions on Image Processing
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
IEEE Transactions on Circuits and Systems for Video Technology
A visual approach for video geocoding using bag-of-scenes
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
A kernel-based framework for image collection exploration
Journal of Visual Languages and Computing
Video key frame extraction through dynamic Delaunay clustering with a structural constraint
Journal of Visual Communication and Image Representation
Multicamera video summarization and anomaly detection from activity motifs
ACM Transactions on Sensor Networks (TOSN)
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Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data to be accessed in a user-friendly way. This has been the goal of a quickly evolving research area known as video summarization. Most of existing techniques to address the problem of summarizing a video sequence have focused on the uncompressed domain. However, decoding and analyzing of a video sequence are two extremely time-consuming tasks. Thus, video summaries are usually produced off-line, penalizing any user interaction. The lack of customization is very critical, as users often have different demands and resources. Since video data are usually available in compressed form, it is desirable to directly process video material without decoding. In this paper, we present VISON, a novel approach for video summarization that works in the compressed domain and allows user interaction. The proposed method is based on both exploiting visual features extracted from the video stream and on using a simple and fast algorithm to summarize the video content. Results from a rigorous empirical comparison with a subjective evaluation show that our technique produces video summaries with high quality relative to the state-of-the-art solutions and in a computational time that makes it suitable for online usage.