Based on the Semantics of the Low-level Visual Features Image Retrieval

被引：0
|
作者：
Zeng, Xianwen [1 ]
Shen, Xuedong [1 ]
机构：
[1] Shanghai Dianji Univ, Sch Elect & Informat, Shanghai, Peoples R China
来源：
ADVANCED COMPOSITE MATERIALS, PTS 1-3 | 2012年 / 482-484卷
关键词：
SVM; Semantic retrieval; Visual characteristics; SVM;
D O I：
10.4028/www.scientific.net/AMR.482-484.512
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
This paper analysis the reasons that traditional CBIR can't support based Semantic image retrieval, and gave a kind of method that Using SVM may solute it. Through studying and Classification, combining HSV Color feature as input parameter,it realized the connection and map between the high-level semantics and low-level image features .Using this method to retrieve can have proved to get higher accuracy.
引用
收藏
页码：512 / 517
页数：6
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