Fine-Grain Annotation of Cricket Videos
Table 2: Evaluation of the neighbourhood of a scene boundary that needs to be searched to find the appropriate bowler and batsman shots in the video. It appears that almost 90% of the correct shots are found within a window size of 10.
['[BOLD] R', 'Bowler Shot', 'Batsman Shot']
The goal of the shot annotation module is to identify the right shot within a scene that contains the bowler and batsman actions. As the scene segmentation might contain errors, we perform a search in a shot-neighbourhood centered on the inferred scene boundary. It was observed that 90% of the bowler and batsman shots were correctly identified by searching within a window of 10 shots on either side of the inferred boundary.