Cricket Video Highlight Generation Methods: A Review

Abstract

The key events extraction from a video for the best representation of its contents is known as video summarization. In this study, the game of cricket is specifically considered for extracting important events such as boundaries, sixes and wickets. The cricket video highlight generation frameworks require extensive key event identification. These key events can be identified by extracting the audio, visual and textual features from any cricket video.The prediction accuracy of the cricket video summarization mainly depends on the game rules, player’s form, their skill, and different natural conditions. This paper provides a complete survey of latest research in cricket video summarization methods. It includes the quantitative evaluation of the outcomes of the existing frameworks. This extensive review highly recommended developing deep learning-assisted video summarization approaches for cricket video due to their more representative feature extraction and classification capability than the conventional edge, texture features, and classifiers. The scope of this analysis also includes future visions and research opportunities in cricket highlight generation.

Keywords

• Cricket video summarization, shot boundary detection, key frame extraction, Excitement and event-driven highlight generation.