Algorithms for clustering data
Algorithms for clustering data
Segmentation of video by clustering and graph analysis
Computer Vision and Image Understanding
MPEG-7 Compliant Shot Detection in Sport Videos
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Enhancing HSV histograms with achromatic points detection for video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Color Features Performance Comparison for Image Retrieval
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
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In this DEMO, we present a tool set for video digital library management that allows i) structural annotation of edited videos in MPEG-7 by automatically extracting shots and clips; ii) automatic semantic annotation based on perceptual similarity against a taxonomy enriched with pictorial concepts iii) video clip access and hierarchical summarization with stand-alone and web interface iv) access to clips from mobile platform in GPRS-UMTS video-streaming. The tools can be applied in different domain-specific Video Digital Libraries. The main novelty is the possibility to enrich the annotation with pictorial concepts that are added to a textual taxonomy in order to make the automatic annotation process more fast and often effective. The resulting multimedia ontology is described in the MPEG-7 framework. The PEANO (Perceptual Annotation of Video) tool has been tested over video art , sport (Soccer, Olimpic Games 2006, Formula 1) and news clips.