Retrieval of Clothing Images Based on Color Feature

DOI

10.2991/amcce-15.2015.26How to use a DOI?

Keywords

clothing; image retrieval; color histogram; similarity measure

Abstract

With the rapid development of e-commerce apparel, clothing online shopping is becoming an increasingly popular way of shopping. At present, text features are often used as search terms. Users need a retrieval tool to realize the clothing information search function efficiently. The content-based image retrieval technology and network shopping based on, with intention of apparel information for the user, is very practical significance. In order to further enhance the convenience when users look for clothes, an image querying and retrieval system based on color feature is designed and implemented. How quickly and accurately retrieve images from a vast image database becomes an urgent problem to be solved. This paper compares a variety of color feature extraction methods and similarity measure methods. Experiments show that Euclidean Metric and global color histogram using RGB space are relatively appropriate for clothing images search.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yatong Wang
AU  - Wenlong Fu
AU  - Yongbin Wang
AU  - Xianglin Huang
PY  - 2015/04
DA  - 2015/04
TI  - Retrieval of Clothing Images Based on Color Feature
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 145
EP  - 151
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.26
DO  - 10.2991/amcce-15.2015.26
ID  - Wang2015/04
ER  -