Discover "Anaba" Sightseeing Spots Using Social Images
スポンサーリンク
概要
- 論文の詳細を見る
Discovering diverse sightseeing resources is addressed more attentions to meet the increasing demand from personalized tour. "Anaba" spot is one of them which is less well-known but still worth visiting. In this paper, we propose a novel method of using social geo-tagged images to discover "Anaba" spots. We first select possible candidates according to the visiting frequency asymmetry of photographers. Then, we evaluate the sightseeing score of each candidate by considering both social support and content quality of images shot around there. We will demonstrate the effectiveness of proposed approach on a collection of 3293 Flickr images.
- 2013-07-15
著者
-
Qiang Ma
Graduate School Of Informatics Kyoto University
-
Masatoshi Yoshikawa
Graduate School of Informatics, Kyoto University
-
Masatoshi Yoshikawa
Graduate School Of Informatics Kyoto University
-
Chenyi Zhuang
Graduate School of Informatics, Kyoto University
-
Qiang Ma
Graduate School of Informatics, Kyoto University
-
Xuefeng Liang
Graduate School of Informatics, Kyoto University
関連論文
- Incremental Construction of Causal Network from News Articles
- Improving Content-based Social Image Retrieval Based on an Image-tag Relationship Model
- How can the Web help Wikipedia? A Study of Information Complementation of Wikipedia by the Web
- Classifying Twitter Users for Spatio-temporal Entity Retrieval
- Tag Quality Improvement for Social Image Hosting Website
- Discover "Anaba" Sightseeing Spots Using Social Images
- Discover "Anaba" Sightseeing Spots Using Social Images