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  1. Proceedings of the 3rd international workshop on Automated information extraction in media production (AIEMPro '10)
  2. Generic architecture for event detection in broadcast sports video
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Technologies for next-generation multi-media libraries: the contentus project
Narrative theme navigation for sitcoms supported by fan-generated scripts
Towards automatic speaker retrieval for large multimedia archives
Implicit news recommendation based on user interest models and multimodal content analysis
Generic architecture for event detection in broadcast sports video
A novel video thumbnail extraction method using spatiotemporal vector quantization
Content-based video genre classification using multiple cues
Unsupervised event segmentation of news content with multimodal cues
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Role-based identity recognition for telecasts
Automatic news recommendations via profiling
Efficient video breakup detection and verification

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Generic architecture for event detection in broadcast sports video

Content Provider ACM Digital Library
Author Van de Walle, Rik De Bruyne, Sarah Poppe, Chris
Abstract An increasing amount of digital sports content is generated and made available through broadcast and Internet. To deliver meaningful access for an end-user, summarizations or highlights of the content are necessary. Hence, the automatic extraction of these summarizations is a pre-requisite for efficient content delivery. In this paper, we will present an architecture that allows this automatic annotation of broadcast sports video. Sports video are particularly popular for end-users and have characteristics that can be exploited for automated analysis. However the large variations of such content (e.g., different soccer matches or even different sports) require a system that is generic or easily adaptable. As such, the focus of this paper is on the creation of a generic architecture for automated event detection in sports video. The different aspects of the architecture are explained and the systems is evaluated on different sports sequences.
Starting Page 51
Ending Page 56
Page Count 6
File Format PDF
ISBN 9781450301640
DOI 10.1145/1877850.1877865
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Event detection Sports analysis
Content Type Text
Resource Type Article
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