Image featuring for retrieval of multimedia documents

Haque, Nazmul and Chowdhury, Morshed 2001, Image featuring for retrieval of multimedia documents, in 2001 International Conferences on Info-Tech and Info-Net : proceedings : ICCII 2001-Beijing, October 29-November 1, 2001, Beijing, China, IEEE Xplore, Piscataway, N.J., pp. 427-432.


Title Image featuring for retrieval of multimedia documents
Author(s) Haque, Nazmul
Chowdhury, Morshed
Conference name International Conferences on Info-Tech and Info-Net (2001 : Beijing, China)
Conference location Beijing, China
Conference dates 29 October - 1 November 2001
Title of proceedings 2001 International Conferences on Info-Tech and Info-Net : proceedings : ICCII 2001-Beijing, October 29-November 1, 2001, Beijing, China
Editor(s) Zhong, Y.X.
Zhongzhi, S.
Hui, L.
Publication date 2001
Start page 427
End page 432
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Summary The utilization of massive multimedia documents collections, such as multimedia documents in the global Internet, needs search engines which can rank using both text and image evidence. Massive size and (dynamic) nature of collection can make manual indexing prohibitively expensive in such situations. Traditional search engines utilize only text components of multimedia documents. But there are information needs, which require the utilization of image evidence. In this paper, we investigate image-feature for large and heterogeneous collections. Both the nature and complexities of information needs are key elements for an effective retrieval. Retrieval needs that depend on perceptual similarities (as found in art galleries, building architecture) require the utilization of visual cues. In such situations, the retrieval of multimedia document based on image ranking can provide higher effectiveness. Experimental results show that effectiveness of ranking based on image feature can be higher where perceptual similarities are key elements for retrieval than the retrieval effectiveness of algorithms based on text ranking algorithms
ISBN 0780370104
9780780370104
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2001 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30009519

Document type: Conference Paper
Collection: School of Information Technology
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