RECENT ADVANCES IN CONTENT-BASED VIDEO ANALYSIS

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

37 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)445-468
Journal / PublicationInternational Journal of Image and Graphics
Volume1
Issue number3
Publication statusPublished - 1 Jul 2001
Externally publishedYes

Abstract

In this paper, we present major issues in video parsing, abstraction, retrieval and semantic analysis. We discuss the success, the difficulties and the expectations in these areas. In addition, we identify important opened problems that can lead to more sophisticated ways of video content analysis. For video parsing, we discuss topics in video partitioning, motion characterization and object segmentation. The success in video parsing, in general, will have a great impact on video representation and retrieval. We present three levels of abstracting video content by scene, keyframe and key object representations. These representation schemes in overall serve as a good start for video retrieval. We then describe visual features, in particular motion, and similarity measures adopted for retrieval. Next, we discuss the recent computational approaches in bridging the semantic gap for video content understanding.

Research Area(s)

  • Video Parsing, Video Abstraction, Video Retrieval, Semantic Analysis

Bibliographic Note

Publication information for this record has been verified with the author(s) concerned.

Citation Format(s)

RECENT ADVANCES IN CONTENT-BASED VIDEO ANALYSIS. / NGO, CHONG-WAH; PONG, TING-CHUEN; ZHANG, HONG-JIANG.
In: International Journal of Image and Graphics, Vol. 1, No. 3, 01.07.2001, p. 445-468.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review