Visually Searching the Web for Content
IEEE MultiMedia
ImageRover: A Content-Based Image Browser for the World Wide Web
CAIVL '97 Proceedings of the 1997 Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '97)
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This paper proposes a method to construction an image knowledge database to store feedback information on WWW image retrieval systems. When the query has not yet been registered in the database, the image features of the true images selected by the user are registered in the database. On registration, the similarity of the features is considered, and only representative features are registered. On retrieval, this database is used as the supervisor data for the query, and images closer to the supervisor data are presented with priority. The experimental results using 130 queries show that an accuracy improvement of 11.6% was achieved.