VideoQ: An automated content based video search system using visual cues

Shih Fu Chang, William Chen, Horace J. Meng, Hari Sundaram, Di Zhong

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

Abstract

The rapidity with which digital information, particularly video, is being generated, has necessitated the development of tools for efficient search of these media. Content based visual queries have been primarily focussed on still image retrieval. In this paper; we propose a novel, real-Time, interactive system on the Web, based on the visual paradigm, with spatio-Temporal attributes playing a key role in video retrieval. We have developed algorithms for automated video object segmentation and tracking and use real-Time video editing techniques while responding to user queries. The resulting system performs well, with the user being able to retrieve complex video clips such as those of skiers, baseball players, with ease.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th ACM International Conference on Multimedia, MULTIMEDIA 1997
PublisherAssociation for Computing Machinery
Pages313-324
Number of pages12
ISBN (Electronic)0897919912, 9780897919913
DOIs
StatePublished - Nov 1 1997
Externally publishedYes
Event5th ACM International Conference on Multimedia, MULTIMEDIA 1997 - Seattle, United States
Duration: Nov 9 1997Nov 13 1997

Publication series

NameProceedings of the 5th ACM International Conference on Multimedia, MULTIMEDIA 1997

Other

Other5th ACM International Conference on Multimedia, MULTIMEDIA 1997
Country/TerritoryUnited States
CitySeattle
Period11/9/9711/13/97

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint

Dive into the research topics of 'VideoQ: An automated content based video search system using visual cues'. Together they form a unique fingerprint.

Cite this