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