SP2SP: Subnet-Partition based 2-level Grid Service Scheduling Policy

The need of techniques for automatic video annotation and summarization has been increased because digital videos have been becoming available at an ever-increasing rate. In this paper, we present an automatic video annotation and summarization system which employs the ontologies and semantic inference rules to facilitate the video retrieval. In our work, high -level concepts of shot / group /scene /video level are automatically extracted by applying semantic inference rules to VideoAnnotation ontology and object ontology. Finally, we show the retrieval effectiveness of our approach and discuss the future work.