Please use this identifier to cite or link to this item:
|Title:||Video retrieval and sequencing system|
|Authors:||Chua, Tat-Seng |
|Citation:||Chua, Tat-Seng, Ruan, Li-Qun (1995-10). Video retrieval and sequencing system. ACM Transactions on Information Systems 13 (4) : 373-407. ScholarBank@NUS Repository. https://doi.org/10.1145/211430.211431|
|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.|
|Source Title:||ACM Transactions on Information Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 11, 2018
WEB OF SCIENCETM
checked on Nov 26, 2018
checked on Nov 9, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.