Human-computer interaction for large-scale image retrieval

  • Authors:
  • Yuli Gao;Chunlei Yang;Yi Shen;Jianping Fan

  • Affiliations:
  • Hewlett-Packard Labs, Palo Alto, CA;Dept. of Computer Science, UNC, Charlotte, NC;Dept. of Computer Science, UNC, Charlotte, NC;Dept. of Computer Science, UNC, Charlotte, NC

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

As digital cameras and online photo sharing services become more popular, digital images are growing exponentially on the Internet. Thus supporting more effective retrieval from large-scale image collections has become a challenging issue for CBIR community. In this paper, we have developed a human-centered computing framework for assisting users to access large-scale online image collections: (a) filtering out junk images from Google Images; and (b) exploring large-scale Flickr images.