Garabato: A proposal of a Sketch-Based Image Retrieval System for the Web

被引：0

作者：

Miguelena Bada, Ana Maria ^{[1
]}

Hoyos Rivera, Guillermo de Jesus ^{[1
]}

Marin Hernandez, Antonio ^{[1
]}

机构：

[1] Univ Veracruzana, Dept Artificial Intelligence, Xalapa 91000, Ver, Mexico

来源：

2014 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (CONIELECOMP) | 2014年

关键词：

CONTOUR;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A proposal for a queried-by-sketch image retrieval system is introduced as an alternative to text-based image search on the Web. The user will create a sketch as a query that will be matched with the edges extracted from natural images. The main challenge regarding edge detection for Content-based Image Retrieval consists in finding edges for larger regions and avoiding the ones corresponding to textures. For this purpose, a combination of selective smoothing and color segmentation is applied prior edge extraction. An evolutionary algorithm is deployed to optimize the image-processing parameters. Similarity between the user's sketch and the image's edges will be measured regarding two local aspects: spatial proximity and edge orientation. A full architecture for image search on the Web is proposed and preliminary results are reported using a trial database.

引用

页码：183 / 188

页数：6