Robust image retrieval based on color histogram of local feature regions
Multimedia Tools and Applications
Properties of patch based approaches for the recognition of visual object classes
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Robust color image retrieval using visual interest point feature of significant bit-planes
Digital Signal Processing
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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 addition to being invariant to rotation and translation, the features have the advantage of preserving structural information of the image. The work presented here concentrates on the idea of calculating these features by evaluating the kernel functions around a small set of preselected points. These points are called the salient points and represent, together with their neighborhood, the most important visual information in an image. The use of these salient points leads to a better representation of the image. Compared to previous work, experiments show that this method gives better retrieval results without introducing extra computational overhead.