TY - GEN
T1 - A multiple features distance preserving (MFDP) model for saliency detection
AU - Guo, Dongyan
AU - Zhang, Jian
AU - Xu, Min
AU - He, Xiangjian
AU - Li, Minxian
AU - Zhao, Chunxia
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/12
Y1 - 2015/1/12
N2 - Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature information, i.e. generate a saliency map based on several maps computed from an individual feature. In this paper, we propose a Multiple Feature Distance Preserving (MFDP) model to seamlessly integrate multiple visual features through an alternative optimization process. Our method outperforms the state-of-the-arts methods on saliency detection. Saliency detected by our method is further cooperated with seam carving algorithm and significantly improves the performance on image retargeting.
AB - Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature information, i.e. generate a saliency map based on several maps computed from an individual feature. In this paper, we propose a Multiple Feature Distance Preserving (MFDP) model to seamlessly integrate multiple visual features through an alternative optimization process. Our method outperforms the state-of-the-arts methods on saliency detection. Saliency detected by our method is further cooperated with seam carving algorithm and significantly improves the performance on image retargeting.
UR - http://www.scopus.com/inward/record.url?scp=84922571985&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2014.7008087
DO - 10.1109/DICTA.2014.7008087
M3 - Conference contribution
AN - SCOPUS:84922571985
T3 - 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
BT - 2014 International Conference on Digital Image Computing
A2 - Bouzerdoum, Abdesselam
A2 - Wang, Lei
A2 - Ogunbona, Philip
A2 - Li, Wanqing
A2 - Phung, Son Lam
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
Y2 - 25 November 2014 through 27 November 2014
ER -