Detecting the directions of viewing landmarks for recommendation by large-scale user-contributed photos

  • Authors:

  • Yen-Ta Huang;Kuan-Ting Chen;Liang-Chi Hsieh;Winston Hsu;Ya-Fan Su

  • Affiliations:

  • National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;National Taiwan University, Taipei, Taiwan Roc;Chunghwa Telecom Co., Ltd., Taoyuan, Taiwan Roc

  • Venue:
  • Proceedings of the 20th ACM international conference on Multimedia
  • Year:
  • 2012

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Abstract

In this work, we try to estimate the viewing directions of photos to browse landmarks with different views. To detect the viewing directions of the photos, we propose to leverage tags and geo-information associated with user-contributed photos to predict the locations of the landmarks. By utilizing the tags along with these photos, we demonstrate that the deviation between the estimated locations and the landmarks is about 30 meters on average. The detected locations of the landmarks can be used to further estimate the viewing directions in which the photos were taken. In the experiments, we show that the average error to the real viewing directions is less than 14 degrees. The estimated viewing directions enable illustrating landmarks from different views and recommending users the popular views for taking photos on the landmarks.