XCRAB: A content and annotation-based multimedia indexing and retrieval system

SeungMin Rho, SooCheol Lee, Een Jun Hwang, YangKyoo Lee

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

During recent years, a new framework, which aims to bring a unified and global approach in indexing, browsing and querying various digital multimedia data such as audio, video and image has been developed. This new system partitions each media stream into smaller units based on actual physical events. These physical events within each media stream can then be effectively indexed for retrieval. In this paper, we present a new approach that exploits audio, image and video features to segment and analyze the audio-visual data. Integration of audio and visual analysis can overcome the weakness of previous approach that was based on the image or video analysis only. We implement a web-based multimedia data retrieval system called XCRAB and report on its experiment result.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages859-868
Number of pages10
Volume3046 LNCS
EditionPART 4
Publication statusPublished - 2004 Dec 1
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume3046 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Fingerprint

Nonbibliographic retrieval systems
Indexing
Annotation
Multimedia
Retrieval
Video Analysis
Experiments
Browsing
Image Analysis
Web-based
Partition
Unit
Experiment
Vision

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Rho, S., Lee, S., Hwang, E. J., & Lee, Y. (2004). XCRAB: A content and annotation-based multimedia indexing and retrieval system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 3046 LNCS, pp. 859-868). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3046 LNCS, No. PART 4).

XCRAB : A content and annotation-based multimedia indexing and retrieval system. / Rho, SeungMin; Lee, SooCheol; Hwang, Een Jun; Lee, YangKyoo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3046 LNCS PART 4. ed. 2004. p. 859-868 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3046 LNCS, No. PART 4).

Research output: Chapter in Book/Report/Conference proceedingChapter

Rho, S, Lee, S, Hwang, EJ & Lee, Y 2004, XCRAB: A content and annotation-based multimedia indexing and retrieval system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 3046 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 3046 LNCS, pp. 859-868.
Rho S, Lee S, Hwang EJ, Lee Y. XCRAB: A content and annotation-based multimedia indexing and retrieval system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 3046 LNCS. 2004. p. 859-868. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
Rho, SeungMin ; Lee, SooCheol ; Hwang, Een Jun ; Lee, YangKyoo. / XCRAB : A content and annotation-based multimedia indexing and retrieval system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3046 LNCS PART 4. ed. 2004. pp. 859-868 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
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