Supporting landmark image retrieval with skyline extraction techniques

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
Pages138-143
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008 - Busan, Korea, Republic of
Duration: 2008 Apr 242008 Apr 26

Publication series

NameProceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008

Other

Other2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
Country/TerritoryKorea, Republic of
CityBusan
Period08-04-2408-04-26

All Science Journal Classification (ASJC) codes

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

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