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Augmenting Image Processing with Social Tag Mining for Landmark Recognition

  • Amogh Mahapatra
  • Xin Wan
  • Yonghong Tian
  • Jaideep Srivastava
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6523)

Abstract

Social Multimedia computing is a new approach which combines the contextual information available in the social networks with available multimedia content to achieve greater accuracy in traditional multimedia problems like face and landmark recognition. Tian et al.[12] introduce this concept and suggest various fields where this approach yields significant benefits. In this paper, this approach has been applied to the landmark recognition problem. The dataset of flickr.com was used to select a set of images for a given landmark. Then image processing techniques were applied on the images and text mining techniques were applied on the accompanying social metadata to determine independent rankings. These rankings were combined using models similar to meta search engines to develop an improved integrated ranking system. Experiments have shown that the recombination approach gives better results than the separate analysis.

Keywords

Social Mutimedia Computing Landmark Recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Amogh Mahapatra
    • 1
  • Xin Wan
    • 1
  • Yonghong Tian
    • 2
  • Jaideep Srivastava
    • 1
  1. 1.Department of CSUniversity of MinnesotaUSA
  2. 2.School of EE & CSPeking UniversityChina

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