Automatic Annotation of Events and Highlights Generation of Cricket Match Videos
Sanchit Agarwal1, Nikhil Kumar Singh2, Prashant Giridhar Shambharkar3
1Sanchit Agarwal, Department of Computer Science and Engineering, Delhi Technological University, Delhi, India.
2Nikhil Kumar Singh, Department of Computer Science and Engineering, Delhi Technological University, Delhi, India.
3Prashant Giridhar Shambharkar, Department of Computer Science and Engineering, Delhi Technological University, Delhi, India.
Manuscript received on 23August 2019. | Revised Manuscript received on 05 September 2019. | Manuscript published on 30 September 2019. | PP: 3878-3881 | Volume-8 Issue-11, September 2019. | Retrieval Number: J11180881019/2019©BEIESP | DOI: 10.35940/ijitee.J1118.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, we propose a novel method for automatic annotation of events and highlights generation for cricket match videos. The videos are divided into time intervals representing one ball clip using a Convolutional Neural Network (CNN) and Optical Character Recognition (OCR). CNN detects the start frame of a ball. OCR is used to detect the end of the ball and to annotate it by recognizing the change in runs/wickets. The proposed framework is able to annotate events and generate sufficiently good highlights for four full length cricket matches.
Keywords: Highlights Generation, Convolutional Neural Network, Optical Character Recognition.
Scope of the Article: Optical Communication