Title :
Offline 1000-Class Classification on a Smartphone
Author :
Kawano, Yoshihiro ; Yanai, Katsuki
Author_Institution :
Univ. of Electro-Commun., Chofu, Japan
Abstract :
In this demo, we propose an offline large-scale image classification system on a smartphone. The proposed system can classify 1000-class objects in the ILSVRC2012 dataset in 0.270 seconds. To implement a 1000-class object classification system, we compress the weight vectors of linear classifiers, which leads only slight performance loss.
Keywords :
image classification; mobile computing; smart phones; 1000-class object classification system; ILSVRC2012 dataset; linear classifiers; offline 1000-class classification; offline large-scale image classification system; smartphone; time 0.270 s; weight vectors; Feature extraction; Image coding; Image color analysis; Mobile communication; Real-time systems; Support vector machine classification; Vectors;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
DOI :
10.1109/CVPRW.2014.35
