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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1346-1350
D. Swanberg , Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA
R. Jain , Dept. of Comput. Sci. & Eng., California Univ., San Diego, La Jolla, CA, USA
ABSTRACT
Research is well underway to investigate the appropriate use of similarity measures across complex objects such as faces and color histograms. This research is crucial in producing systems that support content-based retrieval. To support the successful integration of the these techniques into database systems, support tools and object definitions are needed that can assist with the data modeling process that segments, stores and accesses the data. Here, we define our first efforts to defining the classes and operations inherent in any segmentation process. We define a generic processor structures these essential processes. Finally, we define a set of video objects we have defined to support the segmentation of broadcast video streams.<>
INDEX TERMS
image segmentation, visual databases
CITATION

D. Swanberg and R. Jain, "In support of similarity measures," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1346-1350.
doi:10.1109/ACSSC.1994.471677
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