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.
International Conferences on Info-Tech and Info-Net
Place of publication
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
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Field of Research
080109 Pattern Recognition and Data Mining
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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