Towards a flash search engine based on expressive semantics

Dawei Ding, Jun Yang, Qing Li, Liping Wang, Liu Wenyin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are totally based on low-level features, which make it unpractical to build a contentbased Flash search engine. To address this problem, our paper proposes expressive semantics for bridging the gap between lowlevel features and user queries. To smoothly incorporate expressive semantics into a search engine, an eigenvector-based model is devised to map a user query to expressive semantics with the aid of link analysis method. Our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.

Original languageEnglish
Title of host publicationProceedings of the 13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
PublisherAssociation for Computing Machinery, Inc
Pages472-473
Number of pages2
ISBN (Electronic)1581139128, 9781581139129
DOIs
Publication statusPublished - 19 May 2004
Externally publishedYes
Event13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004 - New York, United States
Duration: 19 May 200421 May 2004

Publication series

NameProceedings of the 13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

Conference

Conference13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004
CountryUnited States
CityNew York
Period19/05/0421/05/04

Keywords

  • Classification
  • Eigenvector
  • Expressive semantics
  • Flash retrieval
  • Search engine
  • Web application

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

Cite this