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A video retrieval and sequencing system
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Volume 13 ,  Issue 4  (October 1995) table of contents
Special issue on video information retrieval
Pages: 373 - 407  
Year of Publication: 1995
ISSN:1046-8188
Authors
Tat-Seng Chua  National Univ. of Singapore, Singapore
Li-Qun Ruan  National Univ. of Singapore, Singapore
Publisher
ACM  New York, NY, USA
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ABSTRACT

Video is an effective medium for capturing the events in the real world around us, and a vast amount of video materials exists, covering a wide range of applications. However, widespread use of video in computer applications is often impeded by the lack of effective tools to manage video information systematically. This article discusses the design and implementation of a frame-based video retrieval and sequencing system (VRSS). The system is designed to support the entire process of video information management: segmenting, indexing, retrieving, and sequencing of video data. A semiautomatic tool is developed to divide video sequences into meaningful shots. Each video shot is logged using text descriptions, audio dialogue, and cinematic attributes. A two-layered, concept-based model is used as the basis for accurately retrieving relevant video shots based on users' free-text queries. A cinematic, rule-based, virtual editing tool is also developed to sequence the video shots retrieved for presentation within a specified time constraint. The system has been tested on a video documentary on the NUS (National University of Singapore) engineering faculty. The results of video retrieval experiments are encouraging.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  17


REVIEW

"Hilary D. Burton : Reviewer"

Video is an increasingly popular medium in many kinds of information systems. Yet effective use of video in various kinds of applications is impeded by the difficulty of managing and retrieving video data and the scarcity of tools to support t  more...

Collaborative Colleagues:
Tat-Seng Chua: colleagues
Li-Qun Ruan: colleagues