Features extraction for soccer video semantic analysis: current achievements and remaining issues

This paper presents a state of the art review of features extraction for soccer video summarization research. The all existing approaches with regard to event detection, video summarization based on video stream and application of text sources in event detection have been surveyed. As regard the cur...

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Main Authors: Rehman, Amjad, Saba, Tanzila
Format: Article
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/46977/
http://dx.doi.org/10.1007/s10462-012-9319-1
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Institution: Universiti Teknologi Malaysia
id my.utm.46977
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spelling my.utm.469772017-09-28T00:27:07Z http://eprints.utm.my/id/eprint/46977/ Features extraction for soccer video semantic analysis: current achievements and remaining issues Rehman, Amjad Saba, Tanzila TA Engineering (General). Civil engineering (General) This paper presents a state of the art review of features extraction for soccer video summarization research. The all existing approaches with regard to event detection, video summarization based on video stream and application of text sources in event detection have been surveyed. As regard the current challenges for automatic and real time provision of summary videos, different computer vision approaches are discussed and compared. Audio, video feature extraction methods and their combination with textual methods have been investigated. Available commercial products are presented to better clarify the boundaries in this domain and future directions for improvement of existing systems have been suggested. 2012 Article PeerReviewed Rehman, Amjad and Saba, Tanzila (2012) Features extraction for soccer video semantic analysis: current achievements and remaining issues. Artificial Intelligence Review . pp. 1-11. ISSN 0269-2821 http://dx.doi.org/10.1007/s10462-012-9319-1
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Rehman, Amjad
Saba, Tanzila
Features extraction for soccer video semantic analysis: current achievements and remaining issues
description This paper presents a state of the art review of features extraction for soccer video summarization research. The all existing approaches with regard to event detection, video summarization based on video stream and application of text sources in event detection have been surveyed. As regard the current challenges for automatic and real time provision of summary videos, different computer vision approaches are discussed and compared. Audio, video feature extraction methods and their combination with textual methods have been investigated. Available commercial products are presented to better clarify the boundaries in this domain and future directions for improvement of existing systems have been suggested.
format Article
author Rehman, Amjad
Saba, Tanzila
author_facet Rehman, Amjad
Saba, Tanzila
author_sort Rehman, Amjad
title Features extraction for soccer video semantic analysis: current achievements and remaining issues
title_short Features extraction for soccer video semantic analysis: current achievements and remaining issues
title_full Features extraction for soccer video semantic analysis: current achievements and remaining issues
title_fullStr Features extraction for soccer video semantic analysis: current achievements and remaining issues
title_full_unstemmed Features extraction for soccer video semantic analysis: current achievements and remaining issues
title_sort features extraction for soccer video semantic analysis: current achievements and remaining issues
publishDate 2012
url http://eprints.utm.my/id/eprint/46977/
http://dx.doi.org/10.1007/s10462-012-9319-1
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