Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm
Sports image classification using image processing and machine vision is a growing area of research that involves the use of algorithms and techniques to identify and analyze objects in sports images and videos. This technology has a wide range of applications, including detecting illegal plays, ana...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-11-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023088114 |
| _version_ | 1797429856889208832 |
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| author | Bing Wang Asad Rezaei sofla |
| author_facet | Bing Wang Asad Rezaei sofla |
| author_sort | Bing Wang |
| collection | DOAJ |
| description | Sports image classification using image processing and machine vision is a growing area of research that involves the use of algorithms and techniques to identify and analyze objects in sports images and videos. This technology has a wide range of applications, including detecting illegal plays, analyzing team performance, and creating highlight reels. Additionally, it can provide valuable visual feedback during training and competition. In this paper, we propose a novel deep learning and optimization hybrid framework for sports image classification. Specifically, we use a modified version of the Battle Royal optimization algorithm as a feature selector to reduce the dimensionality of the images and achieve higher accuracy with only the essential features. We evaluate the proposed framework using sports images and demonstrate that our WOA-based framework outperforms other methods in terms of both classification accuracy and dimensionality reduction. Our results highlight the effectiveness of the proposed approach and its potential to improve sports image classification. |
| first_indexed | 2024-03-09T09:18:56Z |
| format | Article |
| id | doaj.art-81455753b70a43abb586e7fc3c2f1324 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-09T09:18:56Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-81455753b70a43abb586e7fc3c2f13242023-12-02T07:03:20ZengElsevierHeliyon2405-84402023-11-01911e21603Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithmBing Wang0Asad Rezaei sofla1School of Physical Education, Zhengzhou Normal University, ZhengZhou, HeNan, 450044, China; Corresponding author.Islamic Azad University, Tehran, Iran; College of Technical Engineering, The Islamic University, Najaf, Iraq; Corresponding author. Islamic Azad University, Tehran, Iran.Sports image classification using image processing and machine vision is a growing area of research that involves the use of algorithms and techniques to identify and analyze objects in sports images and videos. This technology has a wide range of applications, including detecting illegal plays, analyzing team performance, and creating highlight reels. Additionally, it can provide valuable visual feedback during training and competition. In this paper, we propose a novel deep learning and optimization hybrid framework for sports image classification. Specifically, we use a modified version of the Battle Royal optimization algorithm as a feature selector to reduce the dimensionality of the images and achieve higher accuracy with only the essential features. We evaluate the proposed framework using sports images and demonstrate that our WOA-based framework outperforms other methods in terms of both classification accuracy and dimensionality reduction. Our results highlight the effectiveness of the proposed approach and its potential to improve sports image classification.http://www.sciencedirect.com/science/article/pii/S2405844023088114Sports imageClassificationModified battle royal optimization algorithmMobileNetV3 |
| spellingShingle | Bing Wang Asad Rezaei sofla Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm Heliyon Sports image Classification Modified battle royal optimization algorithm MobileNetV3 |
| title | Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm |
| title_full | Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm |
| title_fullStr | Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm |
| title_full_unstemmed | Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm |
| title_short | Solution for sports image classification using modified MobileNetV3 optimized by modified battle royal optimization algorithm |
| title_sort | solution for sports image classification using modified mobilenetv3 optimized by modified battle royal optimization algorithm |
| topic | Sports image Classification Modified battle royal optimization algorithm MobileNetV3 |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023088114 |
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