RECENT ADVANCES IN CONTENT-BASED VIDEO ANALYSIS
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 445-468 |
Journal / Publication | International Journal of Image and Graphics |
Volume | 1 |
Issue number | 3 |
Publication status | Published - 1 Jul 2001 |
Externally published | Yes |
Link(s)
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.
In: International Journal of Image and Graphics, Vol. 1, No. 3, 01.07.2001, p. 445-468.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review