Modeling the Dance Video Annotations
Ramadoss Balakrishnan, Kannan Rajkumar · 2007
This paper presents a dance video content model (DVCM) to represent the semantics of the dance videos at multiple granularity levels. The DVCM is designed based on the concepts such as video, shot, segment, event and object, which are the components of MPEG- 7 MDS. This paper introduces a new relationship type called, Temporal Semantic Relationship to infer the semantic relationships between the dance video objects. Inverted file based index is created to reduce the search time of the dance video queries. An interactive query processor is designed using J2SE1.5 and JMF2.0 to perform the semantic search.