Semantic Annotation of Sports Videos
Taking into consideration the unique qualities of sports videos, we propose a system that semantically annotates them at different layers of semantic significance, using different elements of visual content. We decompose each shot into its visual and graphic content elements and, by combining several different low-level visual primitives, capture the semantic content at a higher level of significance.