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Algorithms for clustering data
Vector quantization and signal compression
Vector quantization and signal compression
Salient stills: process and practice
IBM Systems Journal
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Proceedings of the 24th annual conference on Computer graphics and interactive techniques
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SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Digital Image Processing
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Spatiotemporal Motion Model for Video Summarization
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Video Scene Segmentation via Continuous Video Coherence
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Video de-Abstraction or How to save money on your wedding video
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Time-Constrained Clustering for Segmentation of Video into Story Unites
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
A layered video object coding system using sprite and affine motion model
IEEE Transactions on Circuits and Systems for Video Technology
Automated high-level movie segmentation for advanced video-retrieval systems
IEEE Transactions on Circuits and Systems for Video Technology
Computational approaches to temporal sampling of video sequences
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Movie scene segmentation using background information
Pattern Recognition
IEEE Transactions on Circuits and Systems for Video Technology
Motion-focusing key frame extraction and video summarization for lane surveillance system
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Hybrid image mosaic construction using the hierarchical method
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
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We present an approach for compact video summaries that allows last and direct access to video data. The video is segmented into shots and, in appropriate video genres, into scenes, using previously proposed methods. A new concept that supports an hierarchical representation of video is presented, and is based on physical setting and camera locations. We use mosaics to represent shots and then scenes. We use a novel method for mosaic comparison which is robust against changes in viewpoint and illumination. In contrast to approaches to video indexing which rely on a frame-based representation, our efficient mosaic-based representation allows fast clustering of scenes into physical settings, a new conceptual form grounded in the recognition of real-world backgrounds. We employ a technique for choosing representative mosaics for each physical setting, for a more compact representation and faster comparison between settings. This compact representation and comparison method runs in real time and allows fast and accurate summaries and comparison of scenes across different videos, and serves as a basis for indexing video libraries. We demonstrate our work using situation comedies (sitcoms), where each half-hour episode is well structured by rules governing background use. Consequently, browsing, indexing, and comparison across videos by physical setting is very fast. Further, we show that physical settings lead to a higher-level contextual identification of the main plots in each video. We demonstrate these contributions with a browsing tool whose top-level single page displays the settings of several episodes. In sports videos where settings are not as well defined, our approach allows classifying shots for characteristic event detection.