Sciweavers

SPIESR
2001

Content-based image retrieval using wavelet-based salient points

13 years 4 months ago
Content-based image retrieval using wavelet-based salient points
Content-based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Most of the attention from the research has been focused on indexing techniques based on global feature distributions. However, these global distributions have limited discriminating power because they are unable to capture local image information. Applying global Gabor texture features greatly improve the retrieval accuracy. But they are computationally complex. In this paper, we present a wavelet-based salient point extraction algorithm. We show that extracting the color and texture information in the locations given by these points provides significantly improved results in terms of retrieval accuracy, computational complexity and storage space of feature vectors as compared to the global feature approaches.
Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupia
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where SPIESR
Authors Qi Tian, Nicu Sebe, Michael S. Lew, Etienne Loupias, Thomas S. Huang
Comments (0)