1,721,143 research outputs found
Spatially organized visualization of image query results
Full text linkGianluigi Ciocca, Claudio Cusano, Simone Santini, Raimondo Schettini, "Spatially organized visualization of image query results", Proceedings of SPIE 7881, Multimedia on Mobile Devices 2011; and Multimedia Content Access: Algorithms and Systems V. Ed. David Akopian, Reiner Creutzburg, Cees G. M. Snoek, Nicu Sebe, Lyndon Kennedy, SPIE (2011). Copyright 2011 Society of Photo‑Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.In this work we present a system which visualizes the results obtained from image search engines in such a way that users can conveniently browse the retrieved images. The way in which search results are presented allows the user to grasp the composition of the set of images "at a glance". To do so, images are grouped and positioned according to their distribution in a prosemantic feature space which encodes information about their content at an abstraction level that can be placed between visual and semantic information. The compactness of the feature space allows a fast analysis of the image distribution so that all the computation can be performed in real time
Towards Colour Imaging with the Image Ranger
No full textMany of the colour images captured by different types of digital camera do not provide quality colour image according to human visual perception. In this study we explore technique for colour correction of the colour images from the Waikato Image Ranger.
Colour images were captured using three different illuminants with the Waikato Image Ranger. The colour image formed from the ranger data do not have good quality because illuminants used do not match usual RGB standard illuminants. The spectral power distribution values of the illuminants were measured using spectroradiometer. To calculate tristimulus values the reflectance function of the scene is required. A mechanism of calculating the reflectance functions from the ranger data using genetic algorithm was explained. The reflectance functions are approximated using variable Gaussian basis functions, and fit to the ranger colour triplets by genetic algorithms. From the estimated reflectance functions standard CRT RGB values were calculated. It was found that the genetic algorithm approach was for too slow for practical purposes and produced images with far too much colour variation
Combining local binary patterns and local color contrast for texture classification under varying illumination
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An Algorithm for the Selection of High-Contrast Color Sets
No full textNominal color coding is the aesthetic and functional use of color to convey qualitative information in graphical environments. The specification of high-contrast color sets is a fundamental step in this process. We formulate the color-coding problem here as a combinatorial optimization problem on graphs and present an algorithm that performs well and does not require that the function used to code the similarity between colors be a distance function
Illuminant Invariant Descriptors for Color Texture ClassificationComputational Color Imaging
No full textIntensity and color descriptors for texture classificationImage Processing: Machine Vision Applications VI
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