Paper Info
Title
Extracting Topic-Related Photos in Density-Based Spatiotemporal Analysis System for Enhancing Situation Awareness
Abstract
Recently, people have begun to diligently post their situation, particularly during a crisis, on social media, therefore, the enhancement of situation awareness using social data is one of the most attractive research subjects. In this paper, we propose a novel density-based spatiotemporal system with a photo image classifier. The photo image classifier, which allows the system to enhance situation awareness during a crisis by showing accurate topic-related photos, is integrated using a support vector machine (SVM) based on the Bag-of-Features (BoF) model into the conventional density-based spatiotemporal system. To evaluate the proposed system, we used an actual data set related to a weather topic, \"rain,\" in Japan. The experimental results indicate that the proposed system can extract photo images related to the weather topic \"rain\" with high accuracy and recall levels.
Year
DOI
Venue
2015
10.1109/IIAI-AAI.2015.240
IIAI-AAI
Keywords
Field
DocType
support vector machine,situation awareness
Data mining,Social media,Situation awareness,Computer science,Bag of features,Support vector machine,Photo image,Classifier (linguistics),Spatiotemporal Analysis,Recall
Conference
ISBN
Citations 
PageRank 
978-1-4799-9957-6
0
0.34
References 
Authors
13
3
Name
Order
Citations
PageRank
Tatsuhiro Sakai1104.71
Keiichi Tamura23713.86
H. Kitakami39449.68