| 基于底层特征的视像检索 |
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| 引用本文： | 孙玉珍.基于底层特征的视像检索[J].漳州师范学院学报,2010,23(1):54-59. |
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| 作者姓名： | 孙玉珍 |
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| 作者单位： | 漳州城市职业学院,信息技术系,福建,漳州,363000 |
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| 摘 要： | 在因特网(Internet)上基于关键词利用谷歌(Google)、百度(Baidu)等搜索引擎检索所需信息有它的局限性,还远不能满足在海量视像中快速检索所需资料的要求.因此视像检索就成为目前国内外信息检索领域的一个热点研究课题.本文通过从视像中提取的颜色、纹理等图像底层特征进行视像概念检测,并采用NIST为TRECVID评估提供的数据对本系统的性能进行了评测,结果表明,采用颜色和纹理相结合的办法可以有效地提高系统的检索效率.
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| 关 键 词： | 视像检索 概念检测 特征 评测基准 |
Underlying Feature-based Video Retrieval |
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| SUN Yu-zhen.Underlying Feature-based Video Retrieval[J].Journal of ZhangZhou Teachers College(Natural Science),2010,23(1):54-59. |
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| Authors: | SUN Yu-zhen |
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| Institution: | SUN Yu-zhen(Department of Information Technology,Zhangzhou City Institute,Zhangzhou,Fujian 363000,China) |
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| Abstract: | Searching multimedia resource via keywords in search engines like Google,Baidu has its limitations,which can not satisfy the need of retrieving huge amount of multimedia resources.Hence,content based image/video retrieval is currently a hot research topic.This paper implements a content based video retrieval system.The system can search videos via low level features,such as color and texture.We carry out experiments on TRECVID platform to verify the performance of the system. |
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| Keywords: | video retrieval text retrieval characteeristic assess |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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