中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Fast and Effective Micro-Video Search Method

文献类型:会议论文

作者Chen, Yuwen; Liu, Leifeng; Zhong, Kunhua
出版日期2014
会议日期OCT 18-19, 2014
会议地点Changsha, PEOPLES R CHINA
页码1-6
通讯作者Chen, YW (reprint author), Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China.
英文摘要The Auto-Encoders neural network is a new neural network method, its theory and application research has just started. This paper presents a retrieval method for micro video using Auto-Encoders neural network reconstruction. The micro video pre-processing to extract video frames, and then features are extracted form binary feature video frames as Auto-Encoders neural network input. Finally, retrieval based on hamming distance. Based on the large-scale micro video clips of experiments prove that this method is fast and effective.
会议录INTERNATIONAL ACADEMIC CONFERENCE ON THE INFORMATION SCIENCE AND COMMUNICATION ENGINEERING (ISCE 2014)
语种英语
WOS记录号WOS:000361115100001
源URL[http://119.78.100.138/handle/2HOD01W0/392]  
专题高性能计算应用研究中心
作者单位(1) Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China
推荐引用方式
GB/T 7714
Chen, Yuwen,Liu, Leifeng,Zhong, Kunhua. A Fast and Effective Micro-Video Search Method[C]. 见:. Changsha, PEOPLES R CHINA. OCT 18-19, 2014.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。