Semi-automatic video content annotation

Xingquan Zhu, Jianping Fan, Xiangyang Xue, Lide Wu, Ahmed K. Elmagarmid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Video modeling and annotating are indispensable operations necessary for creating and populating a video database. To annotate video data effectively and accurately, a video content description ontology is first proposed in this paper, we then introduce a semi-automatic annotation strategy which utilize various video processing techniques to help the annotator explore video context or scenarios for annotation. Moreover, a video scene detection algorithm which joints visual and semantics is proposed to visualize and refine the annotation results. With the proposed strategy, a more reliable and efficient video content description could be achieved. It is better than manual manner in terms of efficiency, and better than automatic scheme in terms of accuracy.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2002 - 3rd IEEE Pacific Rim Conference on Multimedia, Proceedings
EditorsYung-Chang Chen, Long-Wen Chang, Chiou-Ting Hsu
PublisherSpringer Verlag
Pages245-252
Number of pages8
ISBN (Print)3540002626, 9783540002628
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002 - Hsinchu, Taiwan, Province of China
Duration: 16 Dec 200218 Dec 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2532
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd IEEE Pacific Rim Conference on Multimedia, PCM 2002
Country/TerritoryTaiwan, Province of China
CityHsinchu
Period16/12/0218/12/02

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