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Advances in Multimedia
Volume 2015, Article ID 625915, 11 pages
Research Article

An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China

1Wuhan University of Technology, School of Computer Science and Technology, 122 Luoshi Road, Wuhan 430070, China
2Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, China
3Wuhan University, Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, 129 Luoyu Road, Wuhan 430079, China

Received 20 September 2014; Revised 5 January 2015; Accepted 23 January 2015

Academic Editor: Chong Wah Ngo

Copyright © 2015 Zhong Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Tien-Chi Huang, “What Library 2.0 has taught libraries in Taiwan about e-learning,” The Electronic Library, vol. 33, no. 6, pp. 1121–1132, 2015. View at Publisher · View at Google Scholar
  • Xiaonan Liu, Yuwen Luo, Silu Yin, and Shan Gao, “Iris Image Quality Assessment Based on Saliency Detection,” Biometric Recognition, vol. 9967, pp. 349–356, 2016. View at Publisher · View at Google Scholar
  • Emmanuel Joy, and J. Dinesh Peter, “Visual tracking with conditionally adaptive multiple template update scheme for intricate videos,” Multimedia Systems, 2017. View at Publisher · View at Google Scholar