SEMI-AUTOMATED CRICKET BROADCAST HIGHLIGHT GENERATION
Sahil A. K. Ramlogan1*, Akash Pooransingh2 and Daniel J. Ringis3
1,2Faculty of Engineering, The University of the West Indies, Trinidad
3Faculty of Electronic & Electrical Engineering, Trinity College Dublin, Ireland
1Email: sahil.ak.ramlogan@gmail.com*
2Email: akash.pooransingh@sta.uwi.edu
3Email: ringisd@tcd.ie
Abstract:
This paper provides an improvement to automated cricket highlight identification from full broadcasts. Further refinement is provided through semi- automated user verification. This visual result is synchronized with an automated text extraction process. The visual result was successfully extracted at a rate of 97.5% using the ORB function. With user validation a false detection rate of 0% was realized. The metadata from the commentary was then successfully extracted and combined with the visual results to allow for easy searching of the highlight video using any search field.
Keywords: ORB, BRS, Automated Highlight Generation, Cricket Broadcasts.
https://doi.org/10.47412/CIOE9513
