Categorization of sports video shots and scenes in tv sports news based on ball detection

Abstract

Content-based indexing of TV sports news is based on the automatic temporal segmentation, recognition, and then classification of player shots and scenes reporting the sports events in different disciplines. Automatic categorization of sports in TV sports news is a basic process in video indexing. Many strategies how to recognize a sports discipline have been proposed. It may be achieved by player scenes analyses leading to the detection of playing fields, of superimposed text like player or team names, identification of player faces, detection of lines typical for a given playing field and for a given sports discipline, recognition of player and audience emotions, and also detection of sports objects specific for a given sports category. The paper examines the usefulness of ball and ball colour detection for the categorization of sports video shots and scenes in TV sports news. This approach has been verified and its efficiency has been analyzed in the Automatic Video Indexer AVI. © 2014 Springer International Publishing Switzerland.