DocumentCode :
3317746
Title :
Virtual touring: A Content Based Image Retrieval application
Author :
Iliadis, Michael ; Seunghwan Yoo ; Xin Xin ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. of Electr. Eng. & Comp. Sc., Northwestern Univ., Evanston, IL, USA
fYear :
2013
fDate :
15-19 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a Content Based Image Retrieval (CBIR) application for searching landmarks and buildings in a city using a smartphone. A user can snap a picture of the building using his smartphone. The application is able to quickly and accurately find the name of the building along with many other interesting information, such as the history of the building and its Wi-Fi availability. We present a novel client-server CBIR application that combines Laplacian-SIFT for feature descriptor, multiple kd-trees for indexing and two levels of geometric verification. We present back-end and front-end Application Programming Interfaces (API) for client-server CBIR applications and we propose a distributed system architecture to support multiple client requests. The application consists of two user interfaces, a web interface and a mobile interface. Image retrieval results demonstrate the accuracy of the system in recognizing buildings.
Keywords :
Internet; Laplace transforms; application program interfaces; client-server systems; content-based retrieval; feature extraction; image retrieval; mobile computing; object recognition; smart phones; trees (mathematics); user interfaces; Laplacian-SIFT; Web interface; Wi-Fi availability; application programming interfaces; back-end API; building history; building name finding; building recognition; building searching; client-server CBIR application; content based image retrieval application; distributed system architecture; feature descriptor; front-end API; geometric verification; indexing; landmark searching; mobile interface; multiple client request support; multiple kd-trees; smartphone; user interface; virtual touring; Buildings; Feature extraction; Image retrieval; Mobile communication; Servers; Visualization; image features; image retrieval system; image similarity; indexing; visual search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICMEW.2013.6618285
Filename :
6618285
Link To Document :
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