Image and video search engine for the World Wide Web

John R. Smith; Shih-Fu Chang

doi:10.1117/12.263446

15 January 1997 Image and video search engine for the World Wide Web

John R. Smith, Shih-Fu Chang

Proceedings Volume 3022, Storage and Retrieval for Image and Video Databases V; (1997) https://doi.org/10.1117/12.263446
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

We describe a visual information system prototype for searching for images and videos on the World-Wide Web. New visual information in the form of images, graphics, animations and videos is being published on the Web at an incredible rate. However, cataloging this visual data is beyond the capabilities of current text-based Web search engines. In this paper, we describe a complete system by which visual information on the Web is (1) collected by automated agents, (2) processed in both text and visual feature domains, (3) catalogued and (4) indexed for fast search and retrieval. We introduce an image and video search engine which utilizes both text-based navigation and content-based technology for searching visually through the catalogued images and videos. Finally, we provide an initial evaluation based upon the cataloging of over one half million images and videos collected from the Web.

Citation Download Citation

John R. Smith and Shih-Fu Chang "Image and video search engine for the World Wide Web", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263446

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