文献类型：期刊文献

英文题名：Semantic information extraction of video based on ontology and inference

作者：Ma, Jie[2]; Zhang, Jing[3]; Lu, Hong[1,2]; Xue, Xiangyang[2]

机构：[1] IEEE; [2] Department of Computer Science and Engineering, Fudan University, Shanghai, China; [3] Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2007

起止页码：721

外文期刊名：ICSC 2007 International Conference on Semantic Computing

收录：EI(收录号：20083111407887)

语种：英文

外文关键词：Semantics - Bayesian networks

摘要：In this paper, a new ontology-based composite concept detection method is proposed, which adopts Bayesian network to construct the ontology and uses the inference rules to perform the composite concept detection providing the concrete concepts in a phrase of video. Furthermore, the probability instead of binary value is gained through the inference pattern of Bayesian network, which can obtain more precise results. The main contribution of this paper is that semantic concept ontology is constructed using Bayesian network and the constructed ontology represents the hierarchical relationship between the concepts which can be used for inference. The method narrows the influence of "Semantic Gap" in some extent and achieves good performance in composite concept detection. ? 2007 IEEE.