TY - GEN
T1 - Bina İçi Yapilarin ve Mimari Tarzlarin Otomatik Gorsel Siniflandirma Uygulamalari
AU - Solmaz, Berkan
AU - Yucesoy, Veysel
AU - Koc, Aykut
PY - 2017/6/27
Y1 - 2017/6/27
N2 - 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.
AB - 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.
KW - architectural styles
KW - convolutional neural networks
KW - retrieval
KW - visual classification
UR - http://www.scopus.com/inward/record.url?scp=85026323496&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026323496&partnerID=8YFLogxK
U2 - 10.1109/SIU.2017.7960205
DO - 10.1109/SIU.2017.7960205
M3 - Conference contribution
AN - SCOPUS:85026323496
T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017
BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017
Y2 - 15 May 2017 through 18 May 2017
ER -