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Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
 
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| Title | 3D Texton Spaces for color-texture retrieval | Type | Conference Article | |||
| Year | 2010 | Publication | 7th International Conference on Image Analysis and Recognition | Abbreviated Journal | ||
| Volume | 6111 | Issue | Pages | 354–363 | ||
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| Abstract | Color and texture are visual cues of different nature, their integration in an useful visual descriptor is not an easy problem. One way to combine both features is to compute spatial texture descriptors independently on each color channel. Another way is to do the integration at the descriptor level. In this case the problem of normalizing both cues arises. In this paper we solve the latest problem by fusing color and texture through distances in texton spaces. Textons are the attributes of image blobs and they are responsible for texture discrimination as defined in Julesz’s Texton theory. We describe them in two low-dimensional and uniform spaces, namely, shape and color. The dissimilarity between color texture images is computed by combining the distances in these two spaces. Following this approach, we propose our TCD descriptor which outperforms current state of art methods in the two different approaches mentioned above, early combination with LBP and late combination with MPEG-7. This is done on an image retrieval experiment over a highly diverse texture dataset from Corel. | |||||
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| Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | A.C. Campilho and M.S. Kamel | ||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | |||
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| ISSN | 0302-9743 | ISBN | 978-3-642-13771-6 | Medium | ||
| Area | Expedition | Conference | ICIAR | |||
| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ ASV2010a | Serial | 1325 | |||
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| Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
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| Title | Perceptual color texture codebooks for retrieving in highly diverse texture datasets | Type | Conference Article | |||
| Year | 2010 | Publication | 20th International Conference on Pattern Recognition | Abbreviated Journal | ||
| Volume | Issue | Pages | 866–869 | |||
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| Abstract | Color and texture are visual cues of different nature, their integration in a useful visual descriptor is not an obvious step. One way to combine both features is to compute texture descriptors independently on each color channel. A second way is integrate the features at a descriptor level, in this case arises the problem of normalizing both cues. A significant progress in the last years in object recognition has provided the bag-of-words framework that again deals with the problem of feature combination through the definition of vocabularies of visual words. Inspired in this framework, here we present perceptual textons that will allow to fuse color and texture at the level of p-blobs, which is our feature detection step. Feature representation is based on two uniform spaces representing the attributes of the p-blobs. The low-dimensionality of these text on spaces will allow to bypass the usual problems of previous approaches. Firstly, no need for normalization between cues; and secondly, vocabularies are directly obtained from the perceptual properties of text on spaces without any learning step. Our proposal improve current state-of-art of color-texture descriptors in an image retrieval experiment over a highly diverse texture dataset from Corel. | |||||
| Address | Istanbul (Turkey) | |||||
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| ISSN | 1051-4651 | ISBN | 978-1-4244-7542-1 | Medium | ||
| Area | Expedition | Conference | ICPR | |||
| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ ASV2010b | Serial | 1426 | |||
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| Author |
Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu |
 
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| Title | Low-dimensional and Comprehensive Color Texture Description | Type | Journal Article | |||
| Year | 2012 | Publication | Computer Vision and Image Understanding | Abbreviated Journal | CVIU | |
| Volume | 116 | Issue | I | Pages | 54-67 | |
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| Abstract | Image retrieval can be dealt by combining standard descriptors, such as those of MPEG-7, which are defined independently for each visual cue (e.g. SCD or CLD for Color, HTD for texture or EHD for edges).
A common problem is to combine similarities coming from descriptors representing different concepts in different spaces. In this paper we propose a color texture description that bypasses this problem from its inherent definition. It is based on a low dimensional space with 6 perceptual axes. Texture is described in a 3D space derived from a direct implementation of the original Julesz’s Texton theory and color is described in a 3D perceptual space. This early fusion through the blob concept in these two bounded spaces avoids the problem and allows us to derive a sparse color-texture descriptor that achieves similar performance compared to MPEG-7 in image retrieval. Moreover, our descriptor presents comprehensive qualities since it can also be applied either in segmentation or browsing: (a) a dense image representation is defined from the descriptor showing a reasonable performance in locating texture patterns included in complex images; and (b) a vocabulary of basic terms is derived to build an intermediate level descriptor in natural language improving browsing by bridging semantic gap |
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| ISSN | 1077-3142 | ISBN | Medium | |||
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| Notes | CAT;CIC | Approved | no | |||
| Call Number | Admin @ si @ ASV2012 | Serial | 1827 | |||
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| Author |
Shida Beigpour; Marc Serra; Joost Van de Weijer; Robert Benavente; Maria Vanrell; Olivier Penacchio; Dimitris Samaras |
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| Title | Intrinsic Image Evaluation On Synthetic Complex Scenes | Type | Conference Article | |||
| Year | 2013 | Publication | 20th IEEE International Conference on Image Processing | Abbreviated Journal | ||
| Volume | Issue | Pages | 285 - 289 | |||
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| Abstract | Scene decomposition into its illuminant, shading, and reflectance intrinsic images is an essential step for scene understanding. Collecting intrinsic image groundtruth data is a laborious task. The assumptions on which the ground-truth
procedures are based limit their application to simple scenes with a single object taken in the absence of indirect lighting and interreflections. We investigate synthetic data for intrinsic image research since the extraction of ground truth is straightforward, and it allows for scenes in more realistic situations (e.g, multiple illuminants and interreflections). With this dataset we aim to motivate researchers to further explore intrinsic image decomposition in complex scenes. |
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| Address | Melbourne; Australia; September 2013 | |||||
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| Area | Expedition | Conference | ICIP | |||
| Notes | CIC; 600.048; 600.052; 600.051 | Approved | no | |||
| Call Number | Admin @ si @ BSW2013 | Serial | 2264 | |||
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| Author |
Sagnik Das; Hassan Ahmed Sial; Ke Ma; Ramon Baldrich; Maria Vanrell; Dimitris Samaras |
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| Title | Intrinsic Decomposition of Document Images In-the-Wild | Type | Conference Article | |||
| Year | 2020 | Publication | 31st British Machine Vision Conference | Abbreviated Journal | ||
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| Abstract | Automatic document content processing is affected by artifacts caused by the shape
of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due to the large amount of data needed. Hence, the current state of the art deep learning models are trained on fully or partially synthetic images. However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and textures and; (b) synthetic or hybrid datasets with non-realistic, simulated lighting conditions are used to train the models. In this paper we tackle these problems with our two main contributions. First, a physically constrained learning-based method that directly estimates document reflectance based on intrinsic image formation which generalizes to challenging illumination conditions. Second, a new dataset that clearly improves previous synthetic ones, by adding a large range of realistic shading and diverse multi-illuminant conditions, uniquely customized to deal with documents in-the-wild. The proposed architecture works in two steps. First, a white balancing module neutralizes the color of the illumination on the input image. Based on the proposed multi-illuminant dataset we achieve a good white-balancing in really difficult conditions. Second, the shading separation module accurately disentangles the shading and paper material in a self-supervised manner where only the synthetic texture is used as a weak training signal (obviating the need for very costly ground truth with disentangled versions of shading and reflectance). The proposed approach leads to significant generalization of document reflectance estimation in real scenes with challenging illumination. We extensively evaluate on the real benchmark datasets available for intrinsic image decomposition and document shadow removal tasks. Our reflectance estimation scheme, when used as a pre-processing step of an OCR pipeline, shows a 21% improvement of character error rate (CER), thus, proving the practical applicability. The data and code will be available at: https://github.com/cvlab-stonybrook/DocIIW. |
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| Address | Virtual; September 2020 | |||||
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| Area | Expedition | Conference | BMVC | |||
| Notes | CIC; 600.087; 600.140; 600.118 | Approved | no | |||
| Call Number | Admin @ si @ DSM2020 | Serial | 3461 | |||
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| Author |
Robert Benavente; Ramon Baldrich; M.C. Olive; Maria Vanrell |
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| Title | Colour Naming Considering the Colour Variability Problem. | Type | Miscellaneous | |||
| Year | 2000 | Publication | Computacion y Sistemas, 4(1):30–43. | Abbreviated Journal | ||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BBO2000 | Serial | 242 | |||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
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| Title | Estimation of Fuzzy Sets for Computational Colour Categorization | Type | Journal | |||
| Year | 2004 | Publication | Color Research and Application, 29(5):342–353 (IF: 0.739) | Abbreviated Journal | ||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BVB2004 | Serial | 484 | |||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
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| Title | A data set for fuzzy colour naming | Type | Journal | |||
| Year | 2006 | Publication | Color Research & Application, 31(1):48–56 | Abbreviated Journal | ||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BVB2006 | Serial | 590 | |||
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| Author |
Robert Benavente; Maria Vanrell; Ramon Baldrich |
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| Title | Parametric Fuzzy Sets for Automatic Color Naming | Type | Journal | |||
| Year | 2008 | Publication | Journal of the Optical Society of America A | Abbreviated Journal | ||
| Volume | 25 | Issue | 10 | Pages | 2582–2593 | |
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BVB2008 | Serial | 1004 | |||
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| Author |
Robert Benavente; Maria Vanrell |
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| Title | A colour naming experiment | Type | Report | |||
| Year | 2001 | Publication | CVC Technical Report #56 | Abbreviated Journal | ||
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| Address | CVC (UAB) | |||||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BeV2001 | Serial | 78 | |||
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Robert Benavente; Maria Vanrell |
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| Title | Fuzzy Colour Naming Based on Sigmoid Membership Functions. | Type | Miscellaneous | |||
| Year | 2004 | Publication | CGIV 2004 Second European Conference on Colour in Graphics, Imaging and Vision, 135:139 | Abbreviated Journal | ||
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| Address | Aachen (Germany) | |||||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BeV2004 | Serial | 441 | |||
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| Author |
Robert Benavente; Maria Vanrell |
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| Title | Parametrizacion del Espacio de Categorias de Color | Type | Miscellaneous | |||
| Year | 2007 | Publication | Proceedings del VIII Congreso Nacional del Color | Abbreviated Journal | ||
| Volume | Issue | Pages | 77–78 | |||
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| Address | Madrid (Spain) | |||||
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| Area | Expedition | Conference | CNC’07 | |||
| Notes | CAT;CIC | Approved | no | |||
| Call Number | CAT @ cat @ BeV2007 | Serial | 905 | |||
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| Author |
Robert Benavente; M.C. Olive; Maria Vanrell; Ramon Baldrich |
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| Title | Colour Perception: A Simple Method for Colour Naming. | Type | Miscellaneous | |||
| Year | 1999 | Publication | Abbreviated Journal | |||
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| Address | Girona | |||||
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| Notes | CIC | Approved | no | |||
| Call Number | CAT @ cat @ BOV1999 | Serial | 47 | |||
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| Author |
Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados |
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| Title | Normalized colour segmentation for human appearance description. | Type | Miscellaneous | |||
| Year | 2000 | Publication | 15 th International Conference on Pattern Recognition, 3:637–641. | Abbreviated Journal | ||
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| Address | Barcelona. | |||||
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| Notes | DAG;CIC | Approved | no | |||
| Call Number | CAT @ cat @ BSB2000 | Serial | 223 | |||
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