Data Science and Intelligent Computing Techniques
A Detailed Survey on Sports Video Summarization
Authors: Katta Lohith Krishna Kumar, Kanikaram Roopasree Sai, Koyya Deekshitha, Kondaiahgari Maneesh Nand Reddy and K. Paramanandam
Publishing Date: 04-11-2023
ISBN: 978-81-955020-2-8
Abstract
In response to the surging demand for efficient sports content consumption, sports video summarization has emerged as a critical technology for saving time and delivering key moments to sports enthusiasts. This motivates the study to enhance sports video summarization techniques, tackling the problem of effectively providing users with the most recent sports information. This study presents various feature extraction and video segmentation methods for segmenting video, accurately recognizing features and actions in sports videos. This article sets the path for significant improvements by leveraging advanced techniques, such as CNNs and deep learning models in identifying essential elements, even within occluded regions. This advancement addresses the core challenge of providing timely concise sports content to a demanding audience.
Keywords
Segmentation, Feature extraction, Action recognition, CNN Models, Attention Module, Video Summarization
Cite as
Katta Lohith Krishna Kumar, Kanikaram Roopasree Sai, Koyya Deekshitha, Kondaiahgari Maneesh Nand Reddy and K. Paramanandam, "A Detailed Survey on Sports Video Summarization", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 533-550. https://doi.org/10.56155/978-81-955020-2-8-50