A Shape-Based Two-Stage Product Image Retrieval Method

被引：0
|
作者：
Gong Shangfu [1 ]
Du Juan [1 ]
机构：
[1] Xian Univ Sci & Technol, Sch Comp Sci, Xian, Peoples R China
来源：
INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2 | 2012年 / 466-467卷
关键词：
Multi-stage; Content-based Image Retrieval; Product Image Search; Feature Combination; Detail Feature;
D O I：
10.4028/www.scientific.net/AMR.466-467.1050
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Product image retrieval using content of the image is valuable for E-commerce application. But both search efficiency and accuracy are challenging the implementation of content-based image retrieval in large product image database. We present a two-stage product image retrieval method, with fully consideration of individual features of product images. In the initial pruning stage, shape feature based on salient edges of product object is used to generate a moderate number of candidates; in the second stage, the proposed detail feature combined with color and texture features is used for fully retrieval. Experiments show that this two-stage retrieval method accelerates search process with a high accuracy.
引用
收藏
页码：1050 / 1054
页数：5
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