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Cortina: a system for large-scale, content-based web image retrieval

9 years 4 months ago
Cortina: a system for large-scale, content-based web image retrieval
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest repositories for such data is the World Wide Web (WWW). We present Cortina, a large-scale image retrieval system for the WWW. It handles over 3 million images to date. The system retrieves images based on visual features and collateral text. We show that a search process which consists of an initial query-by-keyword or query-by-image and followed by relevance feedback on the visual appearance of the results is possible for large-scale data sets. We also show that it is superior to the pure text retrieval commonly used in largescale systems. Semantic relationships in the data are explored and exploited by data mining, and multiple feature spaces are included in the search process. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous; H.3.5 [Information Storage and Retrieval]: Onlin...
Till Quack, Ullrich Mönich, Lars Thiele, B. S
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MM
Authors Till Quack, Ullrich Mönich, Lars Thiele, B. S. Manjunath
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