Real-time salient object detection

Authors:
Chia-Ju Lu;Chih-Fan Hsu;Mei-Chen Yeh
Affiliations:
National Taiwan Normal University, Taipei, Taiwan Roc;National Taiwan Normal University, Taipei, Taiwan Roc;National Taiwan Normal University, Taipei, Taiwan Roc
Venue:
Proceedings of the 21st ACM international conference on Multimedia
Year:
2013

Citing 4
Cited 0

Integral Histogram: A Fast Way To Extract Histograms in Cartesian Spaces

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Picture Collage

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization

IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to Detect a Salient Object

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Salient object detection techniques have a variety of multimedia applications of broad interest. However, the detection must be fast to truly aid in these processes. There exist many robust algorithms tackling the salient object detection problem but most of them are computationally demanding. In this demonstration we show a fast salient object detection system implemented in a conventional PC environment. We examine the challenges faced in the design and development of a practical system that can achieve accurate detection in real-time.