Towards a flash search engine based on expressive semantics

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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-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
Pages472-473
ISBN (Print)1581139128, 9781581139129
DOIs
Publication statusPublished - May 2004
EventThe Thirteenth International World Wide Web Conference - New York, United States
Duration: 17 May 200422 May 2004
http://www2004.org/

Conference

ConferenceThe Thirteenth International World Wide Web Conference
PlaceUnited States
CityNew York
Period17/05/0422/05/04
Internet address

Research Keywords

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

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