A personal system for web image retrieval

  • Authors:
  • Noriyuki Fujimoto;Kenichi Hagihara

  • Affiliations:
  • Osaka University, Machikaneyama, Toyonaka, Osaka, Japan;Osaka University, Machikaneyama, Toyonaka, Osaka, Japan

  • Venue:
  • WISICT '05 Proceedings of the 4th international symposium on Information and communication technologies
  • Year:
  • 2005

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Abstract

This paper describes the design, implementation, and evaluation of a novel Web image search engine software. The hardware resources required by our engine are only one commodity personal computer (PC for short) and only one Internet connection with a few Mbps. For a given query and a given time interval, our engine retrieves Web pages relevant to the query during the time interval. Then, our engine analyzes the collected Web pages and finally enumerates images in the Web pages in the descending order of score for the query. We evaluated our engine on 2.4GHz Intel Pentium 4 PC with 512MB RAM and 4.28Mbps effective bandwidth to the Internet. Our experiments show that due to our sophisticated Web crawling algorithm, image discard algorithm, and image scoring algorithm, our engine can typically select 349 images of 2205 images in 192 Web pages in 33.38 seconds.