Scalable Sketch-based Image Retrieval using Color Gradient Features

被引：14

作者：

Bui, Tu ^{[1
]}

Collomosse, John ^{[1
]}

机构：

[1] Univ Surrey, CVSSP, Guildford, Surrey, England

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOP (ICCVW) | 2015年

关键词：

D O I：

10.1109/ICCVW.2015.133

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a scalable system for sketch-based image retrieval (SBIR), extending the state of the art Gradient Field HoG (GF-HoG) retrieval framework through two technical contributions. First, we extend GF-HoG to enable color-shape retrieval and comprehensively evaluate several early- and late-fusion approaches for integrating the modality of color, considering both the accuracy and speed of sketch retrieval. Second, we propose an efficient inverse-index representation for GF-HoG that delivers scalable search with interactive query times over millions of images. A mobile app demo accompanies this paper (Android).

引用

页码：1012 / 1019

页数：8

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