Deep Learning Based Automated Sports Video Summarizationusing YOLO
Guntuboina, Chakradhar (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department)
Porwal, Aditya
Jain, Preet (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department)
Shingrakhia, Hansa (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department)

Data:	2021
Resum:	This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-sequent summarization of sports videos using scoreboard detection. A database consisting of 1300 imageswas used to train (using transfer learning) a supervised-learning based object detection algorithm, YOLO(You Only Look Once). Then, for each frame of the video, once the scoreboard was detected using YOLO,the scoreboard was cropped out of the image. After this, image processing techniques were applied on thecropped scoreboard to reduce noise and false positives. Finally, the processed image was passed through anOCR (Optical Character Recognizer) to get the score. A rule-based algorithm was run on the output of theOCR to generate the timestamps of key-events based on the game. The proposed method is best suited forpeople who want to analyse the games and want precise timestamps of the occurrence of important events. The performance of the proposed design was tested on videos of Bundesliga, English Premier League, ICCWC 2019, IPL 2019, and Pro Kabaddi League. An average F1 Score of 0. 979 was achieved during the simu-lations. The algorithm is trained on five different classes of three separate games (Soccer, Cricket, Kabaddi). The design is implemented using python 3. 7.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Sports video ; Image detection ; Image processing ; Optical Character Recognizer (OCR) ; YouOnly Look Once (YOLO) ; Intersection Over Union (IOU) ; Region of Image (ROI) ; Mean Average Precision(mAP) ; Scoreboard ; Key-events
Publicat a:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 99-116 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v20-n1-guntuboina
DOI: 10.5565/rev/elcvia.1286

11 p, 3.5 MB

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