Garment Detectives: Discovering Clothes and Its Genre in Consumer Photos

Shintami Chusnul Hidayati, Kai Lung Hua, Yu Tsao, Hong Han Shuai, Jiaying Liu, Wen Huang Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Clothing image analysis has shown its potential for use in a wide range of applications such as personalized clothing recommendation. Given a consumer photo, this paper addresses the problem of finding clothes and recognizing the genre of that clothes. This problem is very challenging due to large variations of uncontrolled realistic imaging conditions. To tackle these challenges, we formulate a novel framework by integrating local features of multimodality as the instances of the price-collecting Steiner tree (PCST) problem to discover clothing regions, and exploiting visual style elements to discover the clothing genre. The experimental results show that our fully automatic approach is effective to identify irregular shape of clothing region, and it significantly improves the accuracy of clothing genre recognition for images taken in unconstrained environment.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages471-474
Number of pages4
ISBN (Electronic)9781728111988
DOIs
Publication statusPublished - 22 Apr 2019
Externally publishedYes
Event2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019 - San Jose, United States
Duration: 28 Mar 201930 Mar 2019

Publication series

NameProceedings - 2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

Conference

Conference2nd International Conference on Multimedia Information Processing and Retrieval, MIPR 2019
Country/TerritoryUnited States
CitySan Jose
Period28/03/1930/03/19

Keywords

  • Clothing image analysis
  • clothing genres
  • detection and recognition
  • visual style elements

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