VIMOS: a video mosaic for spatio-temporal representation of visual information

Kasim Candan, Forouzan Golshani, Sethuraman Panchanathan, Youngchoon Park

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The capability of extracting critical information from live video signal and presenting it to end-users in an easy-to-grasp form is essential in many application domains, including GIS, intelligence, surveillance, and manufacturing. We outline on the development of methods and algorithms that are necessary for real-time analysis of video data, both in compressed or uncompressed domains, generation of visual icons that embody the characteristics of the objects of interest (say enemy crafts, main actor, star player, etc.) and presentation of the panoramic spatio-temporal view of the entire scene in the form of video mosaics.

Original languageEnglish (US)
Pages (from-to)6-11
Number of pages6
JournalUnknown Journal
StatePublished - 1998

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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