An adaptive view element framework for multi-dimensional data management
Proceedings of the eighth international conference on Information and knowledge management
A Wavelet Framework for Adapting Data Cube Views for OLAP
IEEE Transactions on Knowledge and Data Engineering
Non-sequential multiscale content-based video decomposition
Signal Processing - Special section on content-based image and video retrieval
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Multimedia Tools and Applications
A secure framework exploiting content guided and automated algorithms for real time video searching
Multimedia Tools and Applications
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Machine Graphics & Vision International Journal - Special issue on Image Databases
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We describe a system for browsing and interactively retrieving video over the Internet at multiple spatial and temporal resolutions. The VideoZoom system enables users to start with coarse, low-resolution views of the sequences and selectively zoom-in in space and time. VideoZoom decomposes the video sequences into a hierarchy of view elements, which are retrieved in a progressive fashion. The client browser incrementally builds the views by retrieving, caching, and assembling the view elements, as needed. By integrating browsing and retrieval into a single progressive retrieval paradigm, VideoZoom provides a new and useful system for accessing video over the Internet. VideoZoom is suitable for digital video libraries and a number of other applications in which streaming methods provide insufficient quality of video, video downloading introduces large latencies, and generating video summaries is difficult or not well integrated with video retrieval tasks