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

页码：7 / 9

页数：3

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