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Proceedings Paper

PEGASUS: an information mining system for TV news videos
Author(s): Jingen Liu; Yun Zhai; Mubarak Shah
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Paper Abstract

In this paper, we present the PEGASUS system. PEGASUS is an integrated news video search system with three major components: (1) user interface, where users can formulate search queries and browse the returned results; (2) server, which takes the queries from user interface, performs the searches and ranks the search results before returns them to the users; (3) data storage, which is composed of feature indexing system and video database. The PEGASUS system has the capability to allow users to perform fast multi-modality video search using video features, including features from both audio and visual portions of the videos. To search a target topic, the user first submits an initial query using the prior knowledge on the topic. Then, through a series of relevance feedback processes, a set of relevant video shots are returned by the system to the user. The user is able to further view the results using the video-on-demand (VoD) functionality of the system. The system has been constructed using over 45,000 news video shots, and it is available online of public access.

Paper Details

Date Published: 9 May 2006
PDF: 9 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 622903 (9 May 2006); doi: 10.1117/12.664318
Show Author Affiliations
Jingen Liu, Univ. of Central Florida (United States)
Yun Zhai, Univ. of Central Florida (United States)
Mubarak Shah, Univ. of Central Florida (United States)


Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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