Supporting landmark image retrieval with skyline extraction techniques

Yu Ren Liao, Yu Cheng Chen, Kuan Chung Chen, Wei-Guang Teng

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

The problem of image retrieval is much more challenging than that of text retrieval since significant features for representing and searching an arbitrary image vary with the image content. In this work, we focus on processing images containing landmarks which are easily recognizable by human users. Our observations show that through the use of proper techniques for skyline extraction, the retrieval task of landmark images can be feasible. Specifically, after conducting edge detection on an image, an approach which works in the similar fashion as depth first search is proposed to extract the corresponding skyline precisely. In addition to theoretical analysis of relevant issues, empirical studies show that our approach is advantageous to be utilized in practical applications due to its high efficiency, effectiveness and scalability.

原文English
主出版物標題Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
頁面138-143
頁數6
DOIs
出版狀態Published - 2008 九月 12
事件2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008 - Busan, Korea, Republic of
持續時間: 2008 四月 242008 四月 26

出版系列

名字Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008

Other

Other2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
國家Korea, Republic of
城市Busan
期間08-04-2408-04-26

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Software

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  • 引用此

    Liao, Y. R., Chen, Y. C., Chen, K. C., & Teng, W-G. (2008). Supporting landmark image retrieval with skyline extraction techniques. 於 Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008 (頁 138-143). [4505709] (Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008). https://doi.org/10.1109/MUE.2008.95