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Automatic detection of salient objects and spatial relations in videos for a video database system
2008
Image and Vision Computing
Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the necessity to process the data for feature extraction and labeling prior to storage and querying. Huge amount of data makes it impossible to complete this task manually. We propose a tool for the automatic detection and tracking of salient objects, and derivation of
doi:10.1016/j.imavis.2008.01.001
fatcat:p5ebcpclcrbhlekelzcp4e5wxm