Automatic partitioning of full-motion video
Multimedia Systems
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Communications of the ACM
Graph partitioning models for parallel computing
Parallel Computing - Special issue on graph partioning and parallel computing
Motion-Based Video Representation for Scene Change Detection
International Journal of Computer Vision
Video Summaries through Mosaic-Based Shot and Scene Clustering
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Video Cut Detection using Frequency Domain Correlation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Highlight scene extraction in real time from baseball live video
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Video abstraction: A systematic review and classification
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Video scene segmentation and semantic representation using a novel scheme
Multimedia Tools and Applications
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Proceedings of the ACM International Conference on Image and Video Retrieval
Affective video content representation and modeling
IEEE Transactions on Multimedia
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
On the use of computable features for film classification
IEEE Transactions on Circuits and Systems for Video Technology
A Formal Study of Shot Boundary Detection
IEEE Transactions on Circuits and Systems for Video Technology
Parsing visual stimuli into temporal units through eye movements
Proceedings of the Symposium on Eye Tracking Research and Applications
Video shot representation based on histograms
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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In this paper we propose a novel and complete video structuring/ segmentation framework, which includes shot boundary detection, key-frame selection and high level clustering of shots into scenes. In a first stage, an enhanced shot boundary detection algorithm is proposed. The approach extends the state-of-the-art graph partition model and exploits a scale space filtering of the similarity signal which makes it possible to significantly increase the detection efficiency, with gains of 7,4% to 9,8% in terms of both precision and recall rates. Moreover, in order to reduce the computational complexity, a two-pass analysis is performed. For each detected shot we propose a leap keyframe extraction method that generates static summaries. Finally, the detected keyframes feed a novel shot clustering algorithm which integrates a set of temporal constraints. Video scenes are obtained with average precision and recall rates of 85%.