M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Query processing issues in region-based image databases
Knowledge and Information Systems - Special Issue:Best Papers from the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2008);Guest Editors: Takashi Washio, Einoshin Suzuki and Kai Ming Ting
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Proceedings of the 3rd international workshop on Automated information extraction in media production
Ranking consistency for image matching and object retrieval
Pattern Recognition
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The retrieval of videos of interest from large video collections is a main open problem which calls for the definition of new video content characterization techniques in term of both visual descriptors and semantic annotations. In this paper, we present an efficient and effective video retrieval system which profitably exploits the functionalities offered by a semantic-based automatic video annotator using video shots similarity to suggest relevant labels for the videos to be annotated. Similarity queries based on semantic labels and/or visual features are implemented and experimentally compared on real data in order to measure the retrieval contribution of each type of video content information.