Optimal algorithms for approximate clustering
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Sublinear time algorithms for metric space problems
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
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
Similarity estimation techniques from rounding algorithms
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Acceleration of K-Means and Related Clustering Algorithms
ALENEX '02 Revised Papers from the 4th International Workshop on Algorithm Engineering and Experiments
Video summarization and retrieval using singular value decomposition
Multimedia Systems
Keyframe-based video summarization using Delaunay clustering
International Journal on Digital Libraries
Video summarization by k-medoid clustering
Proceedings of the 2006 ACM symposium on Applied computing
A fast layout algorithm for visual video summaries
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
VISTO: visual storyboard for web video browsing
Proceedings of the 6th ACM international conference on Image and video retrieval
Clip based video summarization and ranking
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Automatic Video Summarization by Affinity Propagation Clustering and Semantic Content Mining
ISECS '08 Proceedings of the 2008 International Symposium on Electronic Commerce and Security
Brief and high-interest video summary generation: evaluating the AT&T labs rushes summarizations
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
Two-stage hierarchical video summary extraction to match low-level user browsing preferences
IEEE Transactions on Multimedia
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method
Pattern Recognition Letters
Key object-based static video summarization
MM '11 Proceedings of the 19th ACM international conference on Multimedia
VISON: VIdeo Summarization for ONline applications
Pattern Recognition Letters
Adaptive key frame extraction for video summarization using an aggregation mechanism
Journal of Visual Communication and Image Representation
Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation
Multimedia Tools and Applications
Efficient visual attention based framework for extracting key frames from videos
Image Communication
A novel video salient object extraction method based on visual attention
Image Communication
Medical Video Summarization using Central Tendency-Based Shot Boundary Detection
International Journal of Computer Vision and Image Processing
Video key frame extraction through dynamic Delaunay clustering with a structural constraint
Journal of Visual Communication and Image Representation
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In the current Web scenario a video browsing tool that produces on-the-fly storyboards is more and more a need. Video summary techniques can be helpful but, due to their long processing time, they are usually unsuitable for on-the-fly usage. Therefore, it is common to produce storyboards in advance, penalizing users customization. The lack of customization is more and more critical, as users have different demands and might access the Web with several different networking and device technologies. In this paper we propose STIMO, a summarization technique designed to produce on-the-fly video storyboards. STIMO produces still and moving storyboards and allows advanced users customization (e.g., users can select the storyboard length and the maximum time they are willing to wait to get the storyboard). STIMO is based on a fast clustering algorithm that selects the most representative video contents using HSV frame color distribution. Experimental results show that STIMO produces storyboards with good quality and in a time that makes on-the-fly usage possible.