New PDF release: Video Database Systems: Issues, Products, and Applications

By Ahmed K. Elmagarmid, Haitao Jiang, Abdelsalam A. Helal, Anupam Joshi, Magdy Ahmed

ISBN-10: 0585368104

ISBN-13: 9780585368108

ISBN-10: 0792398726

ISBN-13: 9780792398721

Nice advances were made within the database box. Relational and item- orientated databases, allotted and client/server databases, and large-scale facts warehousing are one of the extra impressive. even though, none of those advances offers to have as nice and direct an impact at the day-by-day lives of standard electorate as video databases. Video databases will supply a quantum bounce in our skill to house visible information, and in permitting humans to entry and control visible info in methods hitherto idea very unlikely. Video Database platforms: concerns, items and purposes offers useful info on educational study concerns, advertisement items that experience already been constructed, and the functions of the longer term using this examine and improvement. This e-book is usually thought of a reference textual content for these getting into the sector of video or multimedia databases, in addition to a reference for practitioners who are looking to determine the types of goods wanted with the intention to make the most of video databases. Video Database structures: concerns, items and functions covers thoughts, items and purposes. it really is written at a degree that is much less specific than that ordinarily present in textbooks yet extra in-depth than that generally written in alternate press or specialist reference books. therefore, it seeks to serve either an educational and commercial viewers via delivering a unmarried resource of data concerning the study concerns within the box, and the state of the art of perform.

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Additional info for Video Database Systems: Issues, Products, and Applications

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Tracks of objects are extracted by motion extraction algorithms and are described by motion representation. Any motion can be described by combinations of 16 primitive motions (north, rotate-to-left, and so on) which are refined from the 4 basic motions that can be detected by optical flow methods. • Track records are generated for moving objects, and indexes are thus established. In their prototype system, users can query the database by the combinations of video identifiers, objects, and tracks.

104, 105]. They discussed the insertion process in video databases. Several logical video data models that are specific to news broadcasting (including anchorperson shot model, the CNN news episode models, and so on) are proposed and used to identify these logical video data units. These models contain both the spatial and temporal ordering of the key features, as well as Research Issues 47 different types of shots. For example, the anchorperson shot model is based on the location of a set of features within frames belonging to an anchorperson shot.

To distinguish gradual transitions from other camera operations like pans and zooms, the approach uses image-flow computations. They claim that a gradual transition results in a null optical flow, and other camera operations result in particular types of flows. Their approach achieves good results. Failures are either due to similarity of color histograms across the shots when color contents are very similar or sharp changes in lighting such as flashes and flickering object. Shahraray [93] detects abrupt and gradual scene changes based on motioncontrolled temporal filtering of the disparity between consecutive frames.

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Video Database Systems: Issues, Products, and Applications by Ahmed K. Elmagarmid, Haitao Jiang, Abdelsalam A. Helal, Anupam Joshi, Magdy Ahmed


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