Cricket Video Highlight Generation Methods: A Review


  • Hansa Shingrakhia
  • Hetal Patel


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.


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




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