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Automatic summarization of cricket video events using genetic algorithm

Authors:

Harikrishna Narasimhan,

Sanjeev Satheesh,

Dinesh SriramAuthors Info & Claims

GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

Pages 2051 - 2054

https://doi.org/10.1145/1830761.1830858

Published: 07 July 2010 Publication History

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Abstract

Sports video mining has gained a lot of popularity in recent years. In this paper, we propose a flexible framework for summarization of cricket video content using genetic algorithm (GA). A summary of a cricket match should contain a variety of events, span the entire duration of the match and contain events of relatively high importance. These three parameters develop into a multi-objective optimization problem that is solved using genetic algorithm. Our experimental results on cricket matches are quite encouraging and we intend to extend this technique to other similar sports.

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Cited By

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Raval KGoyani M(2023)Shot Segmentation and Replay Detection for Cricket Video Summarization2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)10.1109/CISES58720.2023.10183588(933-938)Online publication date: 28-Apr-2023
https://doi.org/10.1109/CISES58720.2023.10183588
Gupta DSharma A(2023)A comprehensive study of automatic video summarization techniquesArtificial Intelligence Review10.1007/s10462-023-10429-z56:10(11473-11633)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s10462-023-10429-z
Ariyaratne MSilva R(2022)Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithmsInternational Journal of Computer Science in Sport10.2478/ijcss-2022-000321:1(49-92)Online publication date: 15-Jun-2022
https://doi.org/10.2478/ijcss-2022-0003
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Automatic summarization of cricket video events using genetic algorithm

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GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

July 2010

1496 pages

ISBN:9781450300735

DOI:10.1145/1830761

General Chair:
Martin Pelikan
University of Missouri, USA
,
Program Chair:
Jürgen Branke
University of Warwick, Coventry, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 07 July 2010

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GECCO '10: Genetic and Evolutionary Computation Conference

July 7 - 11, 2010

Oregon, Portland, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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https://doi.org/10.1109/CISES58720.2023.10183588
Gupta DSharma A(2023)A comprehensive study of automatic video summarization techniquesArtificial Intelligence Review10.1007/s10462-023-10429-z56:10(11473-11633)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s10462-023-10429-z
Ariyaratne MSilva R(2022)Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithmsInternational Journal of Computer Science in Sport10.2478/ijcss-2022-000321:1(49-92)Online publication date: 15-Jun-2022
https://doi.org/10.2478/ijcss-2022-0003
Raval KGoyani M(2022)A survey on event detection based video summarization for cricketMultimedia Tools and Applications10.1007/s11042-022-12834-y81:20(29253-29281)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s11042-022-12834-y
Khan AShao JAli WTumrani S(2020)Content-Aware Summarization of Broadcast Sports Videos: An Audio–Visual Feature Extraction ApproachNeural Processing Letters10.1007/s11063-020-10200-3Online publication date: 4-Feb-2020
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Ravi AVenugopal HPaul STizhoosh H(2018)A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features2018 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI.2018.8628877(1396-1402)Online publication date: Nov-2018
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Nakamura HOno S(2014)Video summarization support by Interactive Evolutionary Computation2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS)10.1109/SCIS-ISIS.2014.7044675(48-53)Online publication date: Dec-2014
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Pal RGhosh APal S(2012)Video Summarization and Significance of ContentHandbook on Soft Computing for Video Surveillance10.1201/b11631-5(79-102)Online publication date: 2-Mar-2012
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