CGF
2008
13 years 7 months ago
2008
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
ICVGIP
2004
13 years 8 months ago
2004
This paper presents a robust technique for Content Based Image Retrieval (CBIR) using salient points of an image. The salient points are extracted from different levels of the uns...
PCM
2004
Springer
14 years 23 days ago
2004
Springer
In this paper, we propose a salient object extraction method using the contrast map and salient points for object-based image retrieval. In order to make the contrast map, we gener...
MM
2006
ACM
14 years 1 months ago
2006
ACM
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
ISM
2006
IEEE
14 years 1 months ago
2006
IEEE
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
AIHC
2007
Springer
14 years 1 months ago
2007
Springer
This work addresses the problem of human action recognition by introducing a representation of a human action as a collection of short trajectories that are extracted in areas of ...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
MIR
2010
ACM
14 years 2 months ago
2010
ACM
This paper presents a method for selecting salient 2D views to describe 3D objects for the purpose of retrieval. The views are obtained by first identifying salient points via a ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...