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How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach

Publication ,  Conference
Hu, J; Pei, J; Tang, J
Published in: SIAM International Conference on Data Mining 2014, SDM 2014
January 1, 2014

Given a large photo collection without domain knowledge (e.g., tourism photos, conference photos, event photos, images wrapped from webpages), it is not easy for human beings to organize or only view them within a reasonable time. In this paper, we propose to automatically extract meaningful semantics from a photo collection named "dimensions" to help people view, search and organize photos conveniently and efficiently. However, due to the lack of additional domain knowledge or content information, existing image retrieval techniques are not applicable. To tackle the problem, we first propose a simple strategy to extract all meaningful semantics from original photos/images as candidate dimensions, and then propose an efficient unsupervised feature/dimension selection method to select a sufficient dimension subset to uniquely index each photo within this collection. Our experiments on several real-world photo/image collections validate both the efficiency and effectiveness of our proposed method. Copyright

Duke Scholars

Published In

SIAM International Conference on Data Mining 2014, SDM 2014

DOI

ISBN

9781510811515

Publication Date

January 1, 2014

Volume

1

Start / End Page

136 / 144
 

Citation

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Hu, J., Pei, J., & Tang, J. (2014). How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach. In SIAM International Conference on Data Mining 2014, SDM 2014 (Vol. 1, pp. 136–144). https://doi.org/10.1137/1.9781611973440.16
Hu, J., J. Pei, and J. Tang. “How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach.” In SIAM International Conference on Data Mining 2014, SDM 2014, 1:136–44, 2014. https://doi.org/10.1137/1.9781611973440.16.
Hu J, Pei J, Tang J. How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach. In: SIAM International Conference on Data Mining 2014, SDM 2014. 2014. p. 136–44.
Hu, J., et al. “How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach.” SIAM International Conference on Data Mining 2014, SDM 2014, vol. 1, 2014, pp. 136–44. Scopus, doi:10.1137/1.9781611973440.16.
Hu J, Pei J, Tang J. How can I index my thousands of photos effectively and automatically? An unsupervised feature selection approach. SIAM International Conference on Data Mining 2014, SDM 2014. 2014. p. 136–144.

Published In

SIAM International Conference on Data Mining 2014, SDM 2014

DOI

ISBN

9781510811515

Publication Date

January 1, 2014

Volume

1

Start / End Page

136 / 144