DocumentCode
259505
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
fYear
2014
fDate
10-12 Dec. 2014
Firstpage
295
Lastpage
302
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2014 IEEE International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4799-4312-8
Type
conf
DOI
10.1109/ISM.2014.72
Filename
7033042
Link To Document