Gouverneur B.,Xenics |
Verstockt S.,Multimedia Laboratory |
Pauwels E.,Centrum Wiskunde and Informatica |
Han J.,Centrum Wiskunde and Informatica |
And 2 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2012
Various visible and infrared cameras have been tested for the early detection of wildfires to protect archeological treasures. This analysis was possible thanks to the EU Firesense project (FP7-244088). Although visible cameras are low cost and give good results during daytime for smoke detection, they fall short under bad visibility conditions. In order to improve the fire detection probability and reduce the false alarms, several infrared bands are tested ranging from the NIR to the LWIR. The SWIR and the LWIR band are helpful to locate the fire through smoke if there is a direct Line Of Sight. The Emphasis is also put on the physical and the electro-optical system modeling for forest fire detection at short and longer ranges. The fusion in three bands (Visible, SWIR, LWIR) is discussed at the pixel level for image enhancement and for fire detection. © 2012 SPIE.
Lee S.,Korea Advanced Institute of Science and Technology |
De Neve W.,Korea Advanced Institute of Science and Technology |
Plataniotis K.N.,Multimedia Laboratory |
Ro Y.M.,Korea Advanced Institute of Science and Technology
Pattern Recognition Letters | Year: 2010
Descriptive tags are needed to enable efficient and effective search in vast collections of images. Tag recommendation represents a trade-off between automatic image annotation techniques and manual tagging. In this letter, we formulate image tag recommendation as a maximum a posteriori (MAP) problem, making use of a visual folksonomy. A folksonomy can be seen as a collaboratively created set of metadata for informal social classification. Our experimental results show that the use of a visual folksonomy for image tag recommendation has two significant benefits, compared to a conventional approach using a limited concept vocabulary. First, our tag recommendation technique can make use of an unrestricted and rich concept vocabulary. Second, our approach is able to recommend a higher number of correct tags. © 2009 Elsevier B.V. All rights reserved.
Hollemeersch C.-F.,Multimedia Laboratory |
Pieters B.,Multimedia Laboratory |
Lambert P.,Multimedia Laboratory |
De Walle R.V.,Multimedia Laboratory
Visual Computer | Year: 2012
Texture mapping has been widely used to improve the quality of 3D rendered images. To reduce the storage and bandwidth impact of texture mapping, compression systems are commonly used. To further increase the quality of the rendered images, texture filtering is also often adopted. These two techniques are generally considered to be independent. First, a decompression step is executed to gather texture samples, which is then followed by a separate filtering step. We have investigated a system based on linear transforms that merges both phases together. This allows more efficient decompression and filtering at higher compression ratios. This paper formally presents our approach for any linear transformation, how the commonly used discrete cosine transform can be adapted to this new approach, and how this method can be implemented in real time on current-generation graphics cards using shaders. Through reuse of the existing hardware filtering, fast magnification and minification filtering is achieved. Our implementation provides fully anisotropically filtered samples four to six times faster than an implementation using two separate phases for decompression and filtering. Additionally, our transform-based compression also provides increased and variable compression ratios over standard hardware compression systems at a comparable or better quality level. © Springer-Verlag 2011.