Jaime Moreno, Xavier Otazu, & Maria Vanrell. (2010). Contribution of CIWaM in JPEG2000 Quantization for Color Images. In Proceedings of The CREATE 2010 Conference (132–136).
Abstract: The aim of this work is to explain how to apply perceptual concepts to define a perceptual pre-quantizer and to improve JPEG2000 compressor. The approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual pre-quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 without and with perceptual pre-quantization shows that the latter is not favorable in PSNR, but the recovered image is more compressed at the same or even better visual quality measured with a weighted PSNR. Perceptual criteria were taken from the CIWaM(ChromaticInductionWaveletModel).
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Javier Vazquez, Maria Vanrell, & Robert Benavente. (2010). Color names as a constraint for Computer Vision problems. In Proceedings of The CREATE 2010 Conference (324–328).
Abstract: Computer Vision Problems are usually ill-posed. Constraining de gamut of possible solutions is then a necessary step. Many constrains for different problems have been developed during years. In this paper, we present a different way of constraining some of these problems: the use of color names. In particular, we will focus on segmentation, representation ans constancy.
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Fahad Shahbaz Khan, Joost Van de Weijer, & Maria Vanrell. (2010). Who Painted this Painting? In Proceedings of The CREATE 2010 Conference (329–333).
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Shida Beigpour, & Joost Van de Weijer. (2010). Photo-Realistic Color Alteration for Architecture and Design. In Proceedings of The CREATE 2010 Conference (84–88).
Abstract: As color is a strong stimuli we receive from the exterior world, choosing the right color can prove crucial in creating the desired architecture and desing. We propose a framework to apply a realistic color change on both objects and their illuminant lights for snapshots of architectural designs, in order to visualize and choose the right color before actully applying the change in the real world. The proposed framework is based on the laws of physics in order to accomplish realistic and physically plausible results.
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Ferran Diego, Daniel Ponsa, Joan Serrat, & Antonio Lopez. (2008). Video Alignment for Difference-spotting.
Keywords: video alignment
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Juan J. Villanueva. (2008). Visualization, Imaging, and Image Processing,.
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Marçal Rusiñol, Dimosthenis Karatzas, & Josep Llados. (2015). Automatic Verification of Properly Signed Multi-page Document Images. In Proceedings of the Eleventh International Symposium on Visual Computing (Vol. 9475, pp. 327–336). LNCS, 9475.
Abstract: In this paper we present an industrial application for the automatic screening of incoming multi-page documents in a banking workflow aimed at determining whether these documents are properly signed or not. The proposed method is divided in three main steps. First individual pages are classified in order to identify the pages that should contain a signature. In a second step, we segment within those key pages the location where the signatures should appear. The last step checks whether the signatures are present or not. Our method is tested in a real large-scale environment and we report the results when checking two different types of real multi-page contracts, having in total more than 14,500 pages.
Keywords: Document Image; Manual Inspection; Signature Verification; Rejection Criterion; Document Flow
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Ernest Valveny, & Enric Marti. (1999). Application of deformable template matching to symbol recognition in hand-written architectural draw. In Proceedings of the Fifth International Conference on. Bangalore (India).
Abstract: We propose to use deformable template matching as a new approach to recognize characters and lineal symbols in hand-written line drawings, instead of traditional methods based on vectorization and feature extraction. Bayesian formulation of the deformable template matching allows combining fidelity to the ideal shape of the symbol with maximum flexibility to get the best fit to the input image. Lineal nature of symbols can be exploited to define a suitable representation of models and the set of deformations to be applied to them. Matching, however, is done over the original binary image to avoid losing relevant features during vectorization. We have applied this method to hand-written architectural drawings and experimental results demonstrate that symbols with high distortions from ideal shape can be accurately identified.
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Oriol Ramos Terrades, & Ernest Valveny. (2003). Indexing Technical Symbols Using Ridgelets Transform.
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Enric Marti, Jordi Regincos, Jaime Lopez-Krahe, & Juan J.Villanueva. (1991). A system for interpretation of hand line drawings as three-dimensional scene for CAD input. In Proceedings of the First International Conference on Document Analysis and Recognition (pp. 472–480).
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Petia Radeva, M. Bressan, A. Tovar, & Jordi Vitria. (2002). Real-Time Inspection of cork stoppers using parametric methods in high dimensional spaces..
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David Guillamet, & B. Moghaddam. (2002). Joint Distribution of Local Image Features for Appearance Moldeling..
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Petia Radeva, Cristina Cañero, Juan J. Villanueva, J. Mauri, & E Fernandez-Nofrerias. (2001). 3D Reconstruction of a Stent by Deformable Models..
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M. Bressan, David Guillamet, & Jordi Vitria. (2001). Using a local ICA Representation of High Dimensional Data for Object Recognition and Classification..
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David Guillamet, M. Bressan, & Jordi Vitria. (2001). Weighted Non-negative Matrix Factorization for Local Representations..
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