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A scalable and extensible segment-event-object-based sports video retrieval system

Tjondronegoro, Dian W., Chen, Yi-Ping Phoebe, & Joly, Adrien (2008) A scalable and extensible segment-event-object-based sports video retrieval system. ACM Transactions on Multimedia Computing, Communications, and Applications, 4(2).

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Abstract

Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance- based sports. Thus, the proposed system should be generic and robust for all types of sports.

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ID Code: 18009
Item Type: Journal Article
Additional Information: Self-archiving of the published-version is not yet supported by this publisher. For more information, please refer to the journal’s website (see hypertext link) or contact the author.
Keywords: Video database system, Sports video retrieval, Automatic content extraction, Indexing, XML
DOI: 10.1145/1352012.1352017
ISSN: 1551-6857
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Multimedia Programming (080305)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 ACM
Copyright Statement: Authors’ addresses: D. Tjondronegoro, School of Information Systems, Queensland University of Technology, Australia; Y.-P. P. Chen, School of Information Technology, Deakin University, Australia; A. Joly is a student of Faculty of Information Technology, Queensland University of Technology, Australia. Correspondence should be addressed to dian@qut.edu.au. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or direct commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and /or a fee. Permissions may be requested from Publications Dept., ACM, Inc., 2 Penn Plaza, Suite 701, New York, NY 10121-0701 USA, fax +1 (212) 869-0481, or permissions@acm.org.
Deposited On: 18 Feb 2009 12:34
Last Modified: 29 Feb 2012 23:50

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