TY - GEN
T1 - Supporting landmark image retrieval with skyline extraction techniques
AU - Liao, Yu Ren
AU - Chen, Yu Cheng
AU - Chen, Kuan Chung
AU - Teng, Wei Guang
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51249086937&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51249086937&partnerID=8YFLogxK
U2 - 10.1109/MUE.2008.95
DO - 10.1109/MUE.2008.95
M3 - Conference contribution
AN - SCOPUS:51249086937
SN - 0769531342
SN - 9780769531342
T3 - Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
SP - 138
EP - 143
BT - Proceedings - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
T2 - 2008 International Conference on Multimedia and Ubiquitous Engineering, MUE 2008
Y2 - 24 April 2008 through 26 April 2008
ER -