Browsing sports video: trends in sports-related indexing and retrieval work

Anil Kokaram 1 Niall Rea 1 Rozenn Dahyot 2 Murat Tekalp 3 Patrick Bouthemy 4 Patrick Gros 5 Ibrahim Sezan 6
4 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
5 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper aims to identify the current trends in sports-based indexing and retrieval work. It discusses the essential building blocks for any semantic-level retrieval system and acts as a case study in content analysis system design. While one of the major benefits of digital media and digital television in particular has been to provide users with more choices and a more interactive viewing experience, the freedom to choose has in fact manifested as the freedom to choose from the options the broadcaster provides. It is only through the use of automated content-based analysis that sports viewers will be given a chance to manipulate content at a much deeper level than that intended by broadcasters, and hence put true meaning into interactivity.
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Submitted on : Tuesday, February 22, 2011 - 6:04:28 PM
Last modification on : Friday, November 16, 2018 - 1:22:46 AM

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Anil Kokaram, Niall Rea, Rozenn Dahyot, Murat Tekalp, Patrick Bouthemy, et al.. Browsing sports video: trends in sports-related indexing and retrieval work. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2006, 23 (2), pp.47-58. ⟨http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1621448⟩. ⟨10.1109/MSP.2006.1621448⟩. ⟨inria-00568189⟩

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