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: Contribution to conferencePaperpeer-review

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)
Pages313-324
Number of pages12
StatePublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 5th ACM International Multimedia Conference - Seattle, WA, USA
Duration: Nov 9 1997Nov 13 1997

Other

OtherProceedings of the 1997 5th ACM International Multimedia Conference
CitySeattle, WA, USA
Period11/9/9711/13/97

ASJC Scopus subject areas

  • Computer Science(all)

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