Visual Information Retrieval The State of the Art

被引：4
|
作者：
Marques, Oge [1 ]
机构：
[1] Florida Atlantic Univ, Engn & Comp Sci, Boca Raton, FL 33431 USA
来源：
IT PROFESSIONAL | 2016年 / 18卷 / 04期
关键词：
IMAGE RETRIEVAL;
D O I：
10.1109/MITP.2016.70
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Rich visual information is becoming increasingly important in today's Web, as evidenced by the popularity of social networks, the extensive use of video as a medium, and the compelling graphics and visual effects in movies and games. Here, the author examines the process of searching and retrieving images using a visual query-otherwise known as content-based image retrieval (CBIR). © 2016 IEEE.
引用
收藏
页码：7 / 9
页数：3
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