A large scale system for searching and browsing images from the World Wide Web

Yavlinsky, Alexei; Heesch, Daniel and Rüger, Stefan (2006). A large scale system for searching and browsing images from the World Wide Web. In: Image and Video Retrieval, pp. 537–540.

DOI: https://doi.org/10.1007/11788034_63

Abstract

This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The system relies on two modalities for accessing images — automated image annotation and NNk image network browsing. The user supplies the initial query in the form of one or more keywords and is then able to locate the desired images more precisely using a browsing interface.

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About

• Item ORO ID
• 29876
• Item Type
• Conference or Workshop Item
• ISSN
• 0302-9743
• Extra Information
• Published in: H. Sundaram et al. (Eds.): CIVR 2006, LNCS 4071, pp. 537-540, 2006
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2006 Springer-Verlag
• Related URLs
• • http://www.informatik.uni-trier.de/~ley/...
• Depositing User
• Stefan Rüger