Automatic subject categorization of query terms for filtering sensitive queries in multimedia search

Shui Lung Chuaag, Lee Feng Chien, Hsiao Tieh Pu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The purpose of this paper is to deal with Web query catego. rization problem. It will present a feasible approach to categorizing Web query terms into predefined subject cate-gories bascd on their supposed search interests. With the approach, a successful application that can filter out users’ sensitive queries such as pornographic-related terms in multimedia search will be introduced.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages825-830
Number of pages6
Volume2195
ISBN (Print)3540426809, 9783540426806
Publication statusPublished - 2001
Externally publishedYes
Event2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001 - Beijing, China
Duration: 2001 Oct 242001 Oct 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2195
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd IEEE Pacific-Rim Conference on Multimedia, IEEE-PCM 2001
CountryChina
CityBeijing
Period01/10/2401/10/26

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Fingerprint Dive into the research topics of 'Automatic subject categorization of query terms for filtering sensitive queries in multimedia search'. Together they form a unique fingerprint.

  • Cite this

    Chuaag, S. L., Chien, L. F., & Pu, H. T. (2001). Automatic subject categorization of query terms for filtering sensitive queries in multimedia search. In Advances in Multimedia Information Processing - PCM 2001 - 2nd IEEE Pacific Rim Conference on Multimedia, Proceedings (Vol. 2195, pp. 825-830). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2195). Springer Verlag.