Multilayer Video Semantic Feature Extraction Method

摘要：

　　To solve video semantic retrieval,the key problem is the difficulty of analyzing,searching and processing the massive video data.In this paper,we propose an innovative multilayer video semantic feature extraction method.The whole method can achieve automatic extraction,label of the concept ontology of video semantic and provide support for the semantic retrieval.The main idea of the method includes the MPE(Model Parameter Estimation)algorithm,MR(Model Replace)algorithm and MVSS(Multilayer Video Semantic Symbolic representation)algorithm.Express the semantic information of the whole video key-frame from three levels.Furthermore,we examine the validity of those algorithms by labelling the video object ontology.The experimental results show that the method proposed in this paper can improve the accuracy rate of the video semantic feature extraction.

关键词： multilayer video semantic MVSS feature extraction

作者: Xian Zhong Tianbao Yu Yansheng Lu

作者单位: School of Computer Science and Technology,Wuhan University of Technology,China School of Computer Science and Technology,Huazhong University of Science and Technology,China

会议类型: 国际会议

会议名称: 2017年第2届联合国际信息技术、机械与电子工程国际会议(JIMEC2017)

会议地点: 重庆

会议语种:英文

页码: 49-53

在线出版日期: 2017-10-04（万方平台首次上网日期，不代表论文的发表时间）