DocumentCode
2401498
Title
Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform
Author
Guo, Chenlei ; Ma, Qi ; Zhang, Liming
Author_Institution
Dept. of Electron. Eng., Fudan Univ., Shanghai
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
8
Abstract
Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many models have been proposed to simulate the behavior of eyes such as SaliencyToolBox (STB), neuromorphic vision toolkit (NVT) and etc., but they demand high computational cost and their remarkable results mostly rely on the choice of parameters. Recently a simple and fast approach based on Fourier transform called spectral residual (SR) was proposed, which used SR of the amplitude spectrum to obtain the saliency map. The results are good, but the reason is questionable.
Keywords
Fourier transforms; computer vision; natural scenes; object detection; spatiotemporal phenomena; spectral analysis; amplitude spectrum; computer vision; natural scenes; object detection; phase spectrum; quaternion Fourier transform; saliency map; spatio-temporal saliency detection; spectral residual approach; Computational modeling; Computer vision; Eyes; Fourier transforms; Humans; Layout; Object detection; Phase detection; Quaternions; Strontium;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location
Anchorage, AK
ISSN
1063-6919
Print_ISBN
978-1-4244-2242-5
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2008.4587715
Filename
4587715
Link To Document