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Automatic Construction of Image Data Set Using Query Expansion Based on Tag Information

Authors:
Yuki Mizoguchi
Takahiro Yoshimura
Yuji Iwahori
Ryosuke Yamanishi

Keywords: Image Data Set; Query Expansion

Abstract:
Although some automatic construction methods of image data set have been proposed based on the web data, these methods used tag search for the image collection. The problem is that only images which have a target tag can be collected. This paper focuses on the tag given to the image of the data set constructed by the previous method. Tags which have been added to the image of the data set with high frequency and have high relevance to the target label are selected as new search queries. Furthermore, images collected based on the new search queries are classified by classifiers learned with the data set of the target labels constructed by the previous method. The goal is to construct and to expand image data set including images without the target label.

Pages: 18 to 20

Copyright: Copyright (c) IARIA, 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-612-5

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018