Title :
A novel video retrieval algorithm based on coarse-grained and fine-grained
Author :
Xu Jie; Aiyun Xie; Yumeng Peng; Sun Jian
Author_Institution :
Key Lab of Optical Fiber Sensing and Communications (Ministry of Education), School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Abstract :
In order to solve the balance problems between efficiency and accuracy encountered in content-based video retrieval, in this paper, we propose firstly a video retrieval scheme based on coarse granularity. To achieve the coarse-grained video retrieval, we use inverted index. Further, we expose an improved BLAST algorithm to realize fine-grained retrieval of video fingerprint. Finally, simulation results show the good efficiency and accuracy of the algorithm we have proposed. Therefore, this algorithm provides effective technical support for the security regulation and quick retrieval of Internet video.
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM 2015), 11th International Conference on
DOI :
10.1049/cp.2015.0689
