본문 바로가기
  • Home

A WWW Images Automatic Annotation Based On Multi-cues Integration

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(4), pp.79-86
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seong-Yoon Shin ORD ID 1 문형윤 2 Rhee Yang Weon 1

1군산대학교
2LG CNS 차장

Accredited

ABSTRACT

As the rapid development of the Internet, the embedded images in HTML web pages nowadays become predominant. For its amazing function in describing the content and attracting attention, images become substantially important in web pages. All these images consist a considerable database. What's more, the semantic meanings of images are well presented by the surrounding text and links. But only a small minority of these images have precise assigned keyphrases, and manually assigning keyphrases to existing images is very laborious. Therefore it is highly desirable to automate the keyphrases extraction process. In this paper, we first introduce WWW image annotation methods, based on low level features, page tags, overall word frequency and local word frequency. Then we put forward our method of multi-cues integration image annotation. Also, show multi-cue image annotation method is more superior than other method through an experiment.

Citation status

* References for papers published after 2022 are currently being built.