Bina İçi Yapilarin ve Mimari Tarzlarin Otomatik Gorsel Siniflandirma Uygulamalari

Translated title of the contribution: Automated visual classification of indoor scenes and architectural styles

Berkan Solmaz, Veysel Yucesoy, Aykut Koc

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.

Original languageTurkish
Title of host publication2017 25th Signal Processing and Communications Applications Conference, SIU 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509064946
DOIs
Publication statusPublished - Jun 27 2017
Externally publishedYes
Event25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey
Duration: May 15 2017May 18 2017

Publication series

Name2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference
CountryTurkey
CityAntalya
Period5/15/175/18/17

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Keywords

  • architectural styles
  • convolutional neural networks
  • retrieval
  • visual classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Solmaz, B., Yucesoy, V., & Koc, A. (2017). Bina İçi Yapilarin ve Mimari Tarzlarin Otomatik Gorsel Siniflandirma Uygulamalari. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 [7960205] (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960205