Title :
Real-Time Photo Mining from the Twitter Stream: Event Photo Discovery and Food Photo Detection
Author :
Yanai, Keiji ; Kaneko, Takamu ; Kawano, Yoshiyuki
Author_Institution :
Dept. of Inf., Univ. of Electro-Commun., Chofu, Japan
Abstract :
So many people are posting photos as well as short messages to Twitter every minutes from everywhere on the earth. By monitoring the Twitter stream, we can obtain various kinds of photos with texts. In this paper, as case studies of real-time Twitter photo mining, we introduce our current on-going projects on event photo discovery and food photo mining from the Twitter stream.
Keywords :
data mining; social networking (online); Twitter stream; event photo discovery; food photo detection; real-time photo mining; Databases; Feature extraction; Image color analysis; Real-time systems; Streaming media; Twitter; Visualization; Twitter stream; event detection; food photo recognition; real-time photo mining;
Conference_Titel :
Multimedia (ISM), 2014 IEEE International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4799-4312-8
DOI :
10.1109/ISM.2014.72
