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Author |
Ivet Rafegas; Maria Vanrell; Luis A Alexandre; G. Arias |
Title |
Understanding trained CNNs by indexing neuron selectivity |
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Journal Article |
Year |
2020 |
Publication |
Pattern Recognition Letters |
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PRL |
Volume |
136 |
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318-325 |
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The impressive performance of Convolutional Neural Networks (CNNs) when solving different vision problems is shadowed by their black-box nature and our consequent lack of understanding of the representations they build and how these representations are organized. To help understanding these issues, we propose to describe the activity of individual neurons by their Neuron Feature visualization and quantify their inherent selectivity with two specific properties. We explore selectivity indexes for: an image feature (color); and an image label (class membership). Our contribution is a framework to seek or classify neurons by indexing on these selectivity properties. It helps to find color selective neurons, such as a red-mushroom neuron in layer Conv4 or class selective neurons such as dog-face neurons in layer Conv5 in VGG-M, and establishes a methodology to derive other selectivity properties. Indexing on neuron selectivity can statistically draw how features and classes are represented through layers in a moment when the size of trained nets is growing and automatic tools to index neurons can be helpful. |
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CIC; 600.087; 600.140; 600.118 |
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Admin @ si @ RVL2019 |
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3310 |
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Author |
Fernando Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell |
Title |
Fast surface grading using color statistics in the CIELab space |
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Conference Article |
Year |
2005 |
Publication |
Pattern Recognition and Image Analysis. IbPRIA 2005 |
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LNCS 3523 |
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66-673 |
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Germany |
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CAT @ cat @ LVB2005 |
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641 |
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Author |
Francesc Tous; Maria Vanrell; Ramon Baldrich |
Title |
Relaxed Grey-World: Computational Colour Constancy by Surface Matching |
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Book Chapter |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522:192–199 |
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Estoril (Portugal) |
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CAT @ cat @ TVB2005 |
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555 |
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Author |
Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva |
Title |
Visual behaviours for binocular navigation with autonomous systems. |
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Miscellaneous |
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2000 |
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Pattern Recognition and Applications, IOS Press, 134–143. |
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OR;ISE;CIC;MV |
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BCNPCL @ bcnpcl @ RVV2000 |
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245 |
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Author |
Noha Elfiky; Fahad Shahbaz Khan; Joost Van de Weijer; Jordi Gonzalez |
Title |
Discriminative Compact Pyramids for Object and Scene Recognition |
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Journal Article |
Year |
2012 |
Publication |
Pattern Recognition |
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PR |
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45 |
Issue |
4 |
Pages |
1627-1636 |
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Abstract |
Spatial pyramids have been successfully applied to incorporating spatial information into bag-of-words based image representation. However, a major drawback is that it leads to high dimensional image representations. In this paper, we present a novel framework for obtaining compact pyramid representation. First, we investigate the usage of the divisive information theoretic feature clustering (DITC) algorithm in creating a compact pyramid representation. In many cases this method allows us to reduce the size of a high dimensional pyramid representation up to an order of magnitude with little or no loss in accuracy. Furthermore, comparison to clustering based on agglomerative information bottleneck (AIB) shows that our method obtains superior results at significantly lower computational costs. Moreover, we investigate the optimal combination of multiple features in the context of our compact pyramid representation. Finally, experiments show that the method can obtain state-of-the-art results on several challenging data sets. |
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0031-3203 |
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ISE; CAT;CIC |
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no |
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Admin @ si @ EKW2012 |
Serial |
1807 |
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Author |
Susana Alvarez; Maria Vanrell |
Title |
Texton theory revisited: a bag-of-words approach to combine textons |
Type |
Journal Article |
Year |
2012 |
Publication |
Pattern Recognition |
Abbreviated Journal |
PR |
Volume |
45 |
Issue |
12 |
Pages |
4312-4325 |
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The aim of this paper is to revisit an old theory of texture perception and
update its computational implementation by extending it to colour. With this in mind we try to capture the optimality of perceptual systems. This is achieved in the proposed approach by sharing well-known early stages of the visual processes and extracting low-dimensional features that perfectly encode adequate properties for a large variety of textures without needing further learning stages. We propose several descriptors in a bag-of-words framework that are derived from different quantisation models on to the feature spaces. Our perceptual features are directly given by the shape and colour attributes of image blobs, which are the textons. In this way we avoid learning visual words and directly build the vocabularies on these lowdimensionaltexton spaces. Main differences between proposed descriptors rely on how co-occurrence of blob attributes is represented in the vocabularies. Our approach overcomes current state-of-art in colour texture description which is proved in several experiments on large texture datasets. |
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0031-3203 |
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no |
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Admin @ si @ AlV2012a |
Serial |
2130 |
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Author |
Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca |
Title |
Quality control of safety belts by machine vision inspection for real-time production |
Type |
Journal Article |
Year |
2003 |
Publication |
Optical Engineering (IF: 0.877) |
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42 |
Issue |
4 |
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1114-1120 |
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SPIE |
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ADAS;ISE;CIC |
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no |
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ADAS @ adas @ PRL2003 |
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399 |
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Author |
Miquel Ferrer; Robert Benavente; Ernest Valveny; J. Garcia; Agata Lapedriza; Gemma Sanchez |
Title |
Aprendizaje Cooperativo Aplicado a la Docencia de las Asignaturas de Programacion en Ingenieria Informatica |
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Miscellaneous |
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2008 |
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Octava Jornada sobre Aprendizaje Cooperativo, 41–46 |
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Lleida (Spain). |
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OR;DAG;CIC;MV |
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BCNPCL @ bcnpcl @ FBV2008 |
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955 |
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Author |
Joost Van de Weijer; Fahad Shahbaz Khan; Marc Masana |
Title |
Interactive Visual and Semantic Image Retrieval |
Type |
Book Chapter |
Year |
2013 |
Publication |
Multimodal Interaction in Image and Video Applications |
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48 |
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31-35 |
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One direct consequence of recent advances in digital visual data generation and the direct availability of this information through the World-Wide Web, is a urgent demand for efficient image retrieval systems. The objective of image retrieval is to allow users to efficiently browse through this abundance of images. Due to the non-expert nature of the majority of the internet users, such systems should be user friendly, and therefore avoid complex user interfaces. In this chapter we investigate how high-level information provided by recently developed object recognition techniques can improve interactive image retrieval. Wel apply a bagof- word based image representation method to automatically classify images in a number of categories. These additional labels are then applied to improve the image retrieval system. Next to these high-level semantic labels, we also apply a low-level image description to describe the composition and color scheme of the scene. Both descriptions are incorporated in a user feedback image retrieval setting. The main objective is to show that automatic labeling of images with semantic labels can improve image retrieval results. |
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Springer Berlin Heidelberg |
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Angel Sappa; Jordi Vitria |
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1868-4394 |
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978-3-642-35931-6 |
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CIC; 605.203; 600.048 |
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no |
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Admin @ si @ WKC2013 |
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2284 |
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Author |
Abel Gonzalez-Garcia; Robert Benavente; Olivier Penacchio; Javier Vazquez; Maria Vanrell; C. Alejandro Parraga |
Title |
Coloresia: An Interactive Colour Perception Device for the Visually Impaired |
Type |
Book Chapter |
Year |
2013 |
Publication |
Multimodal Interaction in Image and Video Applications |
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48 |
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47-66 |
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A significative percentage of the human population suffer from impairments in their capacity to distinguish or even see colours. For them, everyday tasks like navigating through a train or metro network map becomes demanding. We present a novel technique for extracting colour information from everyday natural stimuli and presenting it to visually impaired users as pleasant, non-invasive sound. This technique was implemented inside a Personal Digital Assistant (PDA) portable device. In this implementation, colour information is extracted from the input image and categorised according to how human observers segment the colour space. This information is subsequently converted into sound and sent to the user via speakers or headphones. In the original implementation, it is possible for the user to send its feedback to reconfigure the system, however several features such as these were not implemented because the current technology is limited.We are confident that the full implementation will be possible in the near future as PDA technology improves. |
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Springer Berlin Heidelberg |
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1868-4394 |
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978-3-642-35931-6 |
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CIC; 600.052; 605.203 |
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Admin @ si @ GBP2013 |
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2266 |
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Author |
Xavier Otazu; M. Ribo; J.M. Paredes; M. Peracaula; J. Nuñez |
Title |
Multiresolution approach for period determination on unevenly sampled data |
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2004 |
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Monthly Notices of the Royal Astronomical Society, 351:251–219 (IF: 5.238) |
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CAT @ cat @ ORP2004 |
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451 |
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Xavier Otazu; M. Ribo; M. Peracaula; J.M. Paredes; J. Nuñez |
Title |
Detection of superimposed periodic signals using wavelets |
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2002 |
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Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671) |
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CAT @ cat @ ORP2002 |
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272 |
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Author |
Olivier Penacchio |
Title |
Mixed Hodge Structures and Equivariant Sheaves on the Projective Plane |
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Journal Article |
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2011 |
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Mathematische Nachrichten |
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MN |
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284 |
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4 |
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526-542 |
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Mixed Hodge structures, equivariant sheaves, MSC (2010) Primary: 14C30, Secondary: 14F05, 14M25 |
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We describe an equivalence of categories between the category of mixed Hodge structures and a category of equivariant vector bundles on a toric model of the complex projective plane which verify some semistability condition. We then apply this correspondence to define an invariant which generalizes the notion of R-split mixed Hodge structure and give calculations for the first group of cohomology of possibly non smooth or non-complete curves of genus 0 and 1. Finally, we describe some extension groups of mixed Hodge structures in terms of equivariant extensions of coherent sheaves. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
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WILEY-VCH Verlag |
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R. Mennicken |
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Admin @ si @ Pen2011 |
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1721 |
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Author |
Maria Vanrell; Jordi Vitria; Xavier Roca |
Title |
A multidimensional scaling approach to explore the behavior of a texture perception algorithm. |
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1997 |
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Machine Vision and Applications |
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9 |
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262–271 |
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OR;ISE;CIC;MV |
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BCNPCL @ bcnpcl @ VVR1997 |
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35 |
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Fahad Shahbaz Khan; Shida Beigpour; Joost Van de Weijer; Michael Felsberg |
Title |
Painting-91: A Large Scale Database for Computational Painting Categorization |
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Journal Article |
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2014 |
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Machine Vision and Applications |
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MVAP |
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25 |
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6 |
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1385-1397 |
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Computer analysis of visual art, especially paintings, is an interesting cross-disciplinary research domain. Most of the research in the analysis of paintings involve medium to small range datasets with own specific settings. Interestingly, significant progress has been made in the field of object and scene recognition lately. A key factor in this success is the introduction and availability of benchmark datasets for evaluation. Surprisingly, such a benchmark setup is still missing in the area of computational painting categorization. In this work, we propose a novel large scale dataset of digital paintings. The dataset consists of paintings from 91 different painters. We further show three applications of our dataset namely: artist categorization, style classification and saliency detection. We investigate how local and global features popular in image classification perform for the tasks of artist and style categorization. For both categorization tasks, our experimental results suggest that combining multiple features significantly improves the final performance. We show that state-of-the-art computer vision methods can correctly classify 50 % of unseen paintings to its painter in a large dataset and correctly attribute its artistic style in over 60 % of the cases. Additionally, we explore the task of saliency detection on paintings and show experimental findings using state-of-the-art saliency estimation algorithms. |
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Springer Berlin Heidelberg |
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0932-8092 |
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CIC; LAMP; 600.074; 600.079 |
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Admin @ si @ KBW2014 |
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2510 |
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Author |
Hassan Ahmed Sial; Ramon Baldrich; Maria Vanrell; Dimitris Samaras |
Title |
Light Direction and Color Estimation from Single Image with Deep Regression |
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Conference Article |
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2020 |
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London Imaging Conference |
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We present a method to estimate the direction and color of the scene light source from a single image. Our method is based on two main ideas: (a) we use a new synthetic dataset with strong shadow effects with similar constraints to the SID dataset; (b) we define a deep architecture trained on the mentioned dataset to estimate the direction and color of the scene light source. Apart from showing good performance on synthetic images, we additionally propose a preliminary procedure to obtain light positions of the Multi-Illumination dataset, and, in this way, we also prove that our trained model achieves good performance when it is applied to real scenes. |
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Virtual; September 2020 |
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LIM |
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CIC; 600.118; 600.140; |
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Admin @ si @ SBV2020 |
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3460 |
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Anna Salvatella; Maria Vanrell; Ramon Baldrich |
Title |
Subtexture Components for Texture Description |
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Miscellaneous |
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2003 |
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Lecture Notes in Computer Science, vol 2652, pp 884–892 |
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Springer-Verlag |
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CAT @ cat @ SVR2003 |
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421 |
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Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
Title |
High-Level Clothes Description Based on Color-Texture and Structural Features |
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Book Chapter |
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2003 |
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Lecture Notes in Computer Science |
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2652 |
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108–116 |
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This work is a part of a surveillance system where content- based image retrieval is done in terms of people appearance. Given an image of a person, our work provides an automatic description of his clothing according to the colour, texture and structural composition of its garments. We present a two-stage process composed by image segmentation and a region-based interpretation. We segment an image by modelling it due to an attributed graph and applying a hybrid method that follows a split-and-merge strategy. We propose the interpretation of five cloth combinations that are modelled in a graph structure in terms of region features. The interpretation is viewed as a graph matching with an associated cost between the segmentation and the cloth models. Fi- nally, we have tested the process with a ground-truth of one hundred images. |
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Springer-Verlag |
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DAG;CIC |
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no |
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CAT @ cat @ BTL2003a |
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368 |
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