OLYVIA: Ontology-based Automatic Video Annotation and Summarization System using Semantic Inference Rules
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.
Jin-Woo Jeong Kyung-Wook Park Jeong Ho Lee Young Shik Moon Sung Han Park Dong-Ho Lee
Department of Computer Science and Engineering, Hanyang University Sensing & Perception Research Group, KITECH Ansan-si, Kyeonggi-do, 426-791, Republic of Korea
国际会议
2007年第三届语义和知识网格国际会议(Third International Conference on Semantics,Knowledge,and Grid)(SKG 2007)
西安
英文
2007-10-29(万方平台首次上网日期,不代表论文的发表时间)