Cricket Highlight Generation: Automatic Generation Framework Comprising Score Extraction and Action Recognition

Generation of highlights is the method of pulling the most intriguing clips from a sports video. It is an important activity for sports broadcasters, especially for the sport of cricket. This research proposes a simple yet efficient approach for the automated generation of Cricket highlights from the entirety of a match video by key event detection. The proposed approach comprises of a score extraction technique with the help of the EAST model and OCR (Optical Character Recognition) techniques which helps detect the keyframes, followed by an action recognition pipeline using CNN and LSTM applied on those detected keyframes. The Observed outcomes exemplify that the precision of the proposed method for automated cricket highlights generation is productive and valuable.