Cluster-Based Landmark and Event Detection for Tagged Photo Collections

被引:68
作者
Papadopoulos, Symeon [1 ]
Zigkolis, Christos [1 ]
Kompatsiaris, Yiannis [1 ]
Vakali, Athena [1 ]
机构
[1] Aristotle Univ Thessaloniki, Dept Informat, Thessaloniki, Greece
关键词
clustering; multimedia information systems; Web mining;
D O I
10.1109/MMUL.2010.68
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
An image analysis scheme can automate the detection of landmarks and events in large image collections, significantly improving the content-consumption experience. © 2011 IEEE.
引用
收藏
页码:52 / 62
页数:11
相关论文
共 15 条
[1]  
[Anonymous], P 2008 INT C CONT BA
[2]  
[Anonymous], 2010, P 3 ACM INT C WEB SE, DOI DOI 10.1145/1718487.1718524
[3]  
Chen L., 2009, CIKM, P523
[4]   Community detection in graphs [J].
Fortunato, Santo .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2010, 486 (3-5) :75-174
[5]  
Joshi D., 2008, P INT C CONTENT BASE, P37
[6]  
Kennedy L.S., 2008, P ACM INT C WORLD WI, P297
[7]  
Li XW, 2008, LECT NOTES COMPUT SC, V5302, P427
[8]   Distinctive image features from scale-invariant keypoints [J].
Lowe, DG .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) :91-110
[9]  
PAPADOPOULOS S, 2010, TECHN DEM PROGR ACM
[10]  
PAPADOPOULOS S, 2010, P INT C IM PROC