| Paper: | MA-L6.3 |
| Session: | Image and Video Storage and Retrieval I |
| Time: | Monday, September 17, 10:30 - 10:50 |
| Presentation: |
Lecture
|
| Title: |
DO COLOUR INTEREST POINTS IMPROVE IMAGE RETRIEVAL? |
| Authors: |
Julian Stoettinger; Vienna University of Technology | | |
| | Allan Hanbury; Vienna University of Technology | | |
| | Nicu Sebe; University of Amsterdam (UvA) | | |
| | Theo Gevers; University of Amsterdam (UvA) | | |
| Abstract: |
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. A way to use multi-channel information in the Harris corner detector 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. |
