When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics

被引:37
|
作者
Ji, Rongrong [1 ]
Gao, Yue [2 ,7 ]
Liu, Wei [3 ]
Xie, Xing [4 ]
Tian, Qi [5 ]
Li, Xuelong [6 ]
机构
[1] Xiamen Univ, Sch Informat Sci & Engn, Dept Cognit Sci, Xiamen 361005, Fujian, Peoples R China
[2] Natl Univ Singapore, Sch Comp, Singapore 117548, Singapore
[3] IBM Corp, TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
[4] Microsoft Res Asia, Beijing 100080, Peoples R China
[5] Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
[6] Chinese Acad Sci, State Key Lab Transient Opt & Photon, Changan, Shaanxi, Peoples R China
[7] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
关键词
Algorithms; System; Measurement; multimedia systems; knowledge representation; Internet; image analysis; ALGORITHM; IMAGES;
D O I
10.1145/2597181
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Coming with the popularity of multimedia sharing platforms such as Facebook and Flickr, recent years have witnessed an explosive growth of geographical tags on social multimedia content. This trend enables a wide variety of emerging applications, for example, mobile location search, landmark recognition, scene reconstruction, and touristic recommendation, which range from purely research prototype to commercial systems. In this article, we give a comprehensive survey on these applications, covering recent advances in recognition and mining of geographical-aware social multimedia. We review related work in the past decade regarding to location recognition, scene summarization, tourism suggestion, 3D building modeling, mobile visual search and city navigation. At the end, we further discuss potential challenges, future topics, as well as open issues related to geo-social multimedia computing, recognition, mining, and analytics.
引用
收藏
页数:18
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