DocumentCode :
2801311
Title :
Applications of image understanding in semantics-oriented multimedia information retrieval
Author :
Zhang, Zhongfei Mark ; Srihari, Rohini K. ; Rao, Aibing
Author_Institution :
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA
fYear :
2000
fDate :
2000
Firstpage :
93
Lastpage :
96
Abstract :
This paper focuses on research on the development of semantics-oriented multimedia information retrieval techniques. Semantics-oriented information retrieval addresses the effectiveness of the retrieval. With the goal of significantly improving retrieval precision and query capability, image understanding technologies are applied to develop effective retrieval techniques. Specifically, three techniques can developed by combining IU technologies (i.e., face detection) with other existing or developed techniques (i.e., text indexing, conventional similarity matching and face identification) for image retrieval. These techniques are evaluated to demonstrate the significance of the semantics-oriented multimedia information retrieval
Keywords :
image matching; image retrieval; multimedia databases; face detection; face identification; image retrieval; image understanding; query capability; semantics-oriented multimedia information retrieval; similarity matching; text indexing; Application software; Computer science; Databases; Face detection; Image retrieval; Indexing; Information retrieval; Law enforcement; Robustness; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Software Engineering, 2000. Proceedings. International Symposium on
Conference_Location :
Taipei
Print_ISBN :
0-7695-0933-9
Type :
conf
DOI :
10.1109/MMSE.2000.897197
Filename :
897197
Link To Document :
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