Video Summarization for Multiple Sports Using Deep Learning

Guntuboina, Chakradhar; Porwal, Aditya; Jain, Preet; Shingrakhia, Hansa

doi:10.1007/978-981-16-2123-9_50

Cited by 3 publications

(1 citation statement)

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“…Automatic analysis and event detection technology of sports competition video based on deep learning represents a cutting-edge approach to extracting meaningful insights from sports footage [6]. Leveraging deep learning algorithms, this technology can automatically identify and analyze key events within a game or match, such as goals, fouls, or player movements.…”

Section: Introductionmentioning

confidence: 99%

Automatic Analysis and Event Detection Technology of Sports Competition Video Based on Deep Learning

Lixin Lai

2024

jes

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This paper presents an investigation into the application of advanced techniques, including deep learning classification and FCM centroid segmentation, for automated event detection and analysis in sports videos. Through a series of experiments and analyses, we demonstrate the effectiveness of deep learning models in accurately categorizing events within sports footage, alongside the insights provided by FCM segmentation into event occurrences at the frame level. This paper investigates the application of advanced techniques, such as deep learning classification and FCM centroid segmentation, for automated event detection in sports videos. Through experiments, we achieved an average accuracy of 93.2% using deep learning classification and identified key events with probabilities ranging from 0.01 to 0.90 using FCM segmentation.

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Section: Introductionmentioning

confidence: 99%