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Title:      SCENES DETECTION AND RECOMMENDATION ACCORDING TO WEB PHOTOGRAPHS WITH GPS INFORMATION
Author(s):      Hao-Chen Wang, Hsien-Tsung Chang
ISBN:      978-972-8939-23-6
Editors:      António Palma dos Reis and Ajith P. Abraham
Year:      2010
Edition:      Single
Keywords:      Scenes Detection, Scenes Recommendation, EXIF, Page Rank
Type:      Full Paper
First Page:      28
Last Page:      36
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In this age of fast-growing markets for tourism, ever shortening IT development life cycles and ubiquity of digital cameras, the sharing of travel photos on web albums, online communities and personal blogs has become increasingly popular (e.g. through Flickr or Wretch web albums). To mine relevant travel information from the vast troves of photographs on the Internet, the most critical challenge is to analyze and filter the “noises” of travel photographs. We accomplished and implemented this over four stages, and restricted the range of photographs to those taken in Taiwan. Other than displaying highly popular scenic spots, we also tabulated the current popularity of the scenic spots with rankings created with Tourist PageRank. We further attempted to verify the validity of our system with a number of experimental approaches.
   

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