A Statistical-driven Approach for Automatic Classification of Events in AFL Video Highlights
(2005) A Statistical-driven Approach for Automatic Classification of Events in AFL Video Highlights. In Proceedings The 28th Australasian Computer Science Conference 38, pages pp. 209-218, The University of Newcastle, Newcastle, Australia.
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Abstract
Due to the repetitive and lengthy nature, automatic content-based summarization is essential to extract a more compact and interesting representation of sport video. State-of-the art approaches have confirmed that high-level semantic in sport video can be detected based on the occurrences of specific audio and visual features (also known as cinematic). However, most of them still rely heavily on manual investigation to construct the algorithms for highlight detection. Thus, the primary aim of this paper is to demonstrate how the statistics of cinematic features within play-break sequences can be used to less-subjectively construct highlight classification rules. To verify the effectiveness of our algorithms, we will present some experimental results using six AFL (Australian Football League) matches from different broadcasters. At this stage, we have successfully classified each play-break sequence into: goal, behind, mark, tackle, and non-highlight. These events are chosen since they are commonly used for broadcasted AFL highlights. The proposed algorithms have also been tested successfully with soccer video.
| Item Type: | Conference Paper |
|---|---|
| Status: | Published |
| Keywords: | Multimedia, sports video summarisation, semantic analysis, self-consumable highlights, algorithms, AFL, soccer |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280300 Computer Software > 280305 Multimedia Programming 280000 Information, Computing and Communication Sciences > 280100 Information Systems > 280104 Computer-Human Interaction 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing |
| ID Code: | 1552 |
| Deposited By: | Tjondronegoro, Dian W. |
| Deposited On: | 08 June 2005 |
| Alternative Locations: | http://sky.fit.qut.edu.au/~tjondron/publications/DianChenPham_ACSC05_Slides.pdf, http://crpit.com/VolumeIndex.html |
| Copyright Owner: | Copyright 2005 Australian Computer Society, Inc. |
| Copyright Statement: | Reproduced in accordance with the copyright policy of the publisher. |