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Content-based Retrieval of Images on the World Wide Web
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The goal of this project is to develop algorithms for searching web documents based on image content. Visual cues (extracted from the image) and textual cues (extracted from the HTML document containing the image) can be exploited. The technical challenges associated with the project are to deal with the staggering scale of the world wide web, to formulate effective image representations and indexing strategies for very fast search based on image content, and to develop user interface techniques that enable fast refinement of a search query via visually-guided "relevance feedback" from the user. These algorithms were deployed in the ImageRover system. |
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Related Publications
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S. Sclaroff, M. La Cascia, S. Sethi and L. Taycher , "Unifying textual and visual cues for content-based image retrieval on the world wide web," Computer Vision and Image Understanding (CVIU), Vol. 75, No. 1, pp 86-98, 1999.
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1999 |
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Marco La Cascia, Saratendu Sethi and Stan Sclaroff , "Combining textual and visual cures for content-based image retrieval on the world wide web," Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, pp 24-29, 1998.
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1998 |
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Leonid Taycher, Marco La Cascia and Stan Sclaroff , "Image digestion and relevance feedback in the ImageRover WWW search engine," Proc. International Conf. on Visual Information, pp 85-92, 1997.
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1997 |
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Stan Sclaroff, Leonid Taycher and Marco La Cascia , "ImageRover: A content-based image browser for the world wide web," Proc. IEEE Workshop on Content-based Access of Image and Video Libraries, pp 2-9, 1997.
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1997 |
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S. Sclaroff , "World wide web image search engines," BU CS Technical Report, No. BU TR95-016, 1995.
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1995 |
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