Local Colour Features for Image Retrieval
A More Distinct Coloured Scale-invariant Interest Point Detector
(Sprache: Englisch)
In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image data is crucial for these tasks. Observing that most current methods use only...
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In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image data is crucial for these tasks. Observing that most current methods use only the luminance information of the images, we investigate the use of colour information in interest point detection. Based on the Harris corner detector, a way to use multi-channel images is explored and different colour spaces are evaluated. To determine the characteristic scale of an interest point, a new colour scale selection method is presented. We show that using colour information and boosting salient colours results in improved performance in retrieval tasks. Large scale image retrieval experiments are carried out to show the gain in retrieval rates under varying circumstances.
Autoren-Porträt von Julian Stöttinger
Stöttinger, JulianMag. DI Julian Stöttinger has been working and studying at the TU Vienna, Uv Amsterdam, TU Hamburg-Harburg and the INRIA Paris-Rocquencourt in the field of computer vision.
Bibliographische Angaben
- Autor: Julian Stöttinger
- 84 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller e.K.
- ISBN-10: 3836483564
- ISBN-13: 9783836483568
Sprache:
Englisch
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