By Shi-Kuo Chang (auth.), Robert Laurini (eds.)
Presently, in our global, visible details dominates. The flip of the millenium marks the age of visible details structures. Enabled via photo sensors of all types turning electronic, visible details won't in basic terms increase the price of latest info, it is going to additionally open up a brand new horizon of formerly untapped details resources. there's a large call for for visible details entry from the patron. in addition, the dealing with of visible details is boosted via the quick bring up of and web functions. complicated know-how for visible info platforms is extra urgently wanted than ever ahead of: not just new computational easy methods to retrieve, index, compress and discover pictorial info, but in addition new metaphors to prepare person interfaces. additionally, new rules and algorithms are wanted which permit entry to large databases of electronic photographs and video clips. eventually we must always no longer put out of your mind new structures with visible interfaces integrating the above elements into new forms of picture, video or multimedia databases and hyperdocuments. All of those applied sciences will allow the development of structures which are substantially diverse from traditional details platforms. Many novel matters might want to be addressed: question formula for pictorial details, consistency administration thereof, indexing and assessing the standard of those structures. traditionally, the expression visible details platforms should be understood both as a approach for photograph details or as visible method for any style information.
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Additional resources for Advances in Visual Information Systems: 4th International Conference, VISUAL 2000 Lyon, France, November 2–4, 2000 Proceedings
Doulamis, Yannis S. Avrithis and Stefanos D. Kollias, “Video Content Representation Using Optimal Extraction of Frames and Scenes,” IEEE conference on Image processing, Vol. 1, pp. 875-879, 1998.  J. L. Lian, “Video Summary and Browsing Based on Story-Unit for Video-onDemand Service,” Master thesis, National Chiao Tung University, Dept. of CSIE, June 1999.  J. Meng, Y. Juan, and S. F. Chang, “Scene Change Detection in a MPEG Compressed Video Sequence”, IS&T/SPIE’s Symposium on Electronic Imaging: Science & Technology, Vol.
Each poster is made up of 16 primary rectangles (more primary rectangles and more precise). We measure the dominance of SU i . Dominance measure is based on the number of scenes in this SU i . Thus, if the amount of scenes in SU i is more than in SU j , then the dominance of SU i will be greater than or equal to SU j . Figure 6 shows the original scenes in a video sequence. Scene Scene Scene Scene Scene Scene Scene Scene Scene Scene 5 7 8 10 4 9 2 6 1 3 Fig. 6. The scenes in a video sequence. Figure 7 shows the clustering of related scenes into story units.
In 19: users pose spatial-predicate queries on geographical signs located in maps in an extended version of SQL. The query can contain absolute or relative positions of signs and distances between signs. Exact query by image predicate is a specification of predicates on global image descriptions, often in the form of range predicates. 30 M. Worring, A. Smeulders, and S. Santiifi Due to the semantic gap, range predicates on features are seldomly used in a direct way. In 17, ranges on color values m'e pre-defined in predicates like "MostlyBlue" and "SomeYellow".