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

Tjondronegoro, D., Chen, Yi-Ping Phoebe and Joly, Adrien 2008, A scalable and extensible segment-event-object-based sports video retrieval system, ACM transactions on multimedia computing communications and applications, vol. 4, no. 2, pp. 1-40, doi: 10.1145/1352012.1352017.

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Title A scalable and extensible segment-event-object-based sports video retrieval system
Author(s) Tjondronegoro, D.
Chen, Yi-Ping Phoebe
Joly, Adrien
Journal name ACM transactions on multimedia computing communications and applications
Volume number 4
Issue number 2
Start page 1
End page 40
Publisher Association for Computing Machinery, Inc
Place of publication New York, N.Y.
Publication date 2008-05
ISSN 1551-6857
Keyword(s) MPEG-7
video database system
automatic content extraction
mobile video interaction
sports video retrieval
Summary 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.
Language eng
DOI 10.1145/1352012.1352017
Field of Research 080305 Multimedia Programming
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2008
Copyright notice ©2008, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30017628

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