太原理工大学学报Issue(5)：566-570,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2015.05.017
基于关键帧多特征融合的视频拷贝检测
Video Copy Detection Based on Key Frame Multi-feature Fusion
摘要
Abstract
Retrieval speed is an important issue in video copy detection .This paper proposed a fast video copy detection method ,w hich uses a local sensitive hashing index to achive fast retriev‐al by mapping videos with similar clips into the same buckets ,and combines multi‐features of key frames to achieve high accuracy .To improve retrieval accuracy ,the method extracts key frames by using shot segmentation techniques ,and then obtains the Hilbert feature based on key points , ordinal measure feature and ORB (Oriented FAST and Rotated BRIEF ) feature from key frames . This allows the method make full use of both local features and global features .The hash index is built by hash the combined features .Experimental results show that this proposed method not only achieves high precision and recall rate ,but also has high spead .关键词
视频拷贝检测/关键帧/ORB/类局部敏感哈希/关键点希尔伯特Key words
video copy detection/key-frames/oriented FAST and Rotated BRIEF (ORB)/local sensitive hashing/hilbert feature based on key points分类
信息技术与安全科学引用本文复制引用
张兴忠,李皓,张三义..基于关键帧多特征融合的视频拷贝检测[J].太原理工大学学报,2015,(5):566-570,5.基金项目
国家科技支撑项目子课题（2012BAH04F02-2）；教育部归国留学人员科研启动基金（2010-1174）；人社部留学人员科技活动项目（2011-508）；山西省国际科技合作计划基金资助项目中美、中加合作云计算环境下网站系统架构和数据库系统建模技术研究 （）
