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| Author | F. Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell | ||||
| Title | Fast surface grading using color statistics in the CIELab space | Type | Book Chapter | ||
| Year | 2005 | Publication | LNCS 1: 666–673 | Abbreviated Journal | |
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Germany | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ LVB2005 | Serial | 641 | ||
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| Author | Fadi Dornaika; Franck Davoine | ||||
| Title | Facial expression recognition in continuous videos using dynamic programming | Type | Miscellaneous | ||
| Year | 2005 | Publication | IEEE Int. Conference on Image Processing | Abbreviated Journal | |
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| Address |
Genova (Italy) | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ DoD2005a | Serial | 597 | ||
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| Author | Fadi Dornaika; Franck Davoine | ||||
| Title | SFM for planar scenes using image derivatives | Type | Miscellaneous | ||
| Year | 2005 | Publication | IEEE Int. Conference on Image Processing, 1088–1091 | Abbreviated Journal | |
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| Address |
Genova (Italy) | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ DoD2005b | Serial | 598 | ||
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| Author | Carles Fernandez; Jordi Gonzalez | ||||
| Title | Ontology for Semantic Integration in a Cognitive Surveillance System | Type | Conference Article | ||
| Year | 2007 | Publication | Semantic Multimedia, 2nd International Conference on Semantics and Digital Media Technologies | Abbreviated Journal | |
| Volume | 4816 | Issue | Pages | 263–263 | |
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| Address |
Genova (Italy) | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | SAMT’07 | ||
| Notes | ISE | Approved | no | ||
| Call Number | ISE @ ise @ FeG2007 | Serial | 919 | ||
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| Author | J. Martinez; Eva Costa; P. Herreros; Antonio Lopez; Juan J. Villanueva | ||||
| Title | TV-Screen Quality Inspection by Artificial Vision | Type | Miscellaneous | ||
| Year | 2003 | Publication | Proceedings of the Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003) | Abbreviated Journal | |
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| Abstract | A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions. | ||||
| Address |
Gatlinburg, (EEUU) | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ MCH2003a | Serial | 393 | ||
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| Author | Mohamed Ilyes Lakhal; Hakan Cevikalp; Sergio Escalera | ||||
| Title | CRN: End-to-end Convolutional Recurrent Network Structure Applied to Vehicle Classification | Type | Conference Article | ||
| Year | 2018 | Publication | 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications | Abbreviated Journal | |
| Volume | 5 | Issue | Pages | 137-144 | |
| Keywords | Vehicle Classification; Deep Learning; End-to-end Learning | ||||
| Abstract | Vehicle type classification is considered to be a central part of Intelligent Traffic Systems. In the recent years, deep learning methods have emerged in as being the state-of-the-art in many computer vision tasks. In this paper, we present a novel yet simple deep learning framework for the vehicle type classification problem. We propose an end-to-end trainable system, that combines convolution neural network for feature extraction and recurrent neural network as a classifier. The recurrent network structure is used to handle various types of feature inputs, and at the same time allows to produce a single or a set of class predictions. In order to assess the effectiveness of our solution, we have conducted a set of experiments in two public datasets, obtaining state of the art results. In addition, we also report results on the newly released MIO-TCD dataset. | ||||
| Address |
Funchal; Madeira; Portugal; January 2018 | ||||
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| Area | Expedition | Conference | VISAPP | ||
| Notes | HUPBA | Approved | no | ||
| Call Number | Admin @ si @ LCE2018a | Serial | 3094 | ||
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| Author | N. Serrano; L. Tarazon; D. Perez; Oriol Ramos Terrades; S. Juan | ||||
| Title | The GIDOC Prototype | Type | Conference Article | ||
| Year | 2010 | Publication | 10th International Workshop on Pattern Recognition in Information Systems | Abbreviated Journal | |
| Volume | Issue | Pages | 82-89 | ||
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| Abstract | Transcription of handwritten text in (old) documents is an important, time-consuming task for digital libraries. It might be carried out by first processing all document images off-line, and then manually supervising system transcriptions to edit incorrect parts. However, current techniques for automatic page layout analysis, text line detection and handwriting recognition are still far from perfect, and thus post-editing system output is not clearly better than simply ignoring it.
A more effective approach to transcribe old text documents is to follow an interactive- predictive paradigm in which both, the system is guided by the user, and the user is assisted by the system to complete the transcription task as efficiently as possible. Following this approach, a system prototype called GIDOC (Gimp-based Interactive transcription of old text DOCuments) has been developed to provide user-friendly, integrated support for interactive-predictive layout analysis, line detection and handwriting transcription. GIDOC is designed to work with (large) collections of homogeneous documents, that is, of similar structure and writing styles. They are annotated sequentially, by (par- tially) supervising hypotheses drawn from statistical models that are constantly updated with an increasing number of available annotated documents. And this is done at different annotation levels. For instance, at the level of page layout analysis, GIDOC uses a novel text block detection method in which conventional, memoryless techniques are improved with a “history” model of text block positions. Similarly, at the level of text line image transcription, GIDOC includes a handwriting recognizer which is steadily improved with a growing number of (partially) supervised transcriptions. |
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| Address |
Funchal, Portugal | ||||
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| ISSN | ISBN | 978-989-8425-14-0 | Medium | ||
| Area | Expedition | Conference | PRIS | ||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ STP2010 | Serial | 1868 | ||
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| Author | Agnes Borras; Josep Llados | ||||
| Title | A Multi-Scale Layout Descriptor Based on Delaunay Triangulation for Image Retrieval | Type | Conference Article | ||
| Year | 2008 | Publication | 3rd International Conference on Computer Vision Theory and Applications VISAPP (2) 2008 | Abbreviated Journal | |
| Volume | 2 | Issue | Pages | 139-144 | |
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| Address |
Funchal, Madeira (Portugal) | ||||
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ BoL2008 | Serial | 981 | ||
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| Author | Josep Llados | ||||
| Title | Perspectives on the Analysis of Graphical Documents | Type | Miscellaneous | ||
| Year | 2006 | Publication | Colloque International Francophone sur l´Ecrit et le Document (CIFED´06), 25–31 | Abbreviated Journal | |
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| Address |
Fribourg (Switzerland) | ||||
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ Lla2006a | Serial | 706 | ||
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| Author | Antonio Lopez; Felipe Lumbreras; Joan Serrat | ||||
| Title | Creaseness form level set extrinsec curvature. | Type | Miscellaneous | ||
| Year | 1998 | Publication | 5th European Conference on Computer Vision (ECCV’98), Lecture Notes in Computer Science,vol 1407, pgs. 156–169 | Abbreviated Journal | |
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| Address |
Freiburg, Germany. | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ LLS1998b | Serial | 12 | ||
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| Author | Felipe Lumbreras; Xavier Roca; Daniel Ponsa; Robert Benavente; J. Martinez; Silvia Sanchez; Coen Antens; Juan J. Villanueva | ||||
| Title | Visual Inspection of Safety Belts | Type | Conference Article | ||
| Year | 2001 | Publication | International Conference on Quality Control by Artificial Vision | Abbreviated Journal | |
| Volume | 2 | Issue | Pages | 526–531 | |
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| Address |
France | ||||
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| Area | Expedition | Conference | QCAV | ||
| Notes | ADAS;ISE;CIC | Approved | no | ||
| Call Number | ADAS @ adas @ LRP2001 | Serial | 122 | ||
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| Author | C. Gratin; Jordi Vitria; F. Moreso; D. Seron | ||||
| Title | Texture Classification using Neural Networks and Local Granulometries | Type | Conference Article | ||
| Year | 1994 | Publication | EURASIP Workshop, Mathematical Morphology and Its Applications to image Processing, J.Serra and P.Soille, editors | Abbreviated Journal | |
| Volume | Issue | Pages | 309-316 | ||
| Keywords | Neural Networks; Granulometry; Kidney; Texture; Classication | ||||
| Abstract | |||||
| Address |
Fointanebleau, France | ||||
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ GVM1994 | Serial | 110 | ||
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| Author | C. Alejandro Parraga; Arash Akbarinia | ||||
| Title | Colour Constancy as a Product of Dynamic Centre-Surround Adaptation | Type | Conference Article | ||
| Year | 2016 | Publication | 16th Annual meeting in Vision Sciences Society | Abbreviated Journal | |
| Volume | 16 | Issue | 12 | Pages | |
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| Abstract | Colour constancy refers to the human visual system's ability to preserve the perceived colour of objects despite changes in the illumination. Its exact mechanisms are unknown, although a number of systems ranging from retinal to cortical and memory are thought to play important roles. The strength of the perceptual shift necessary to preserve these colours is usually estimated by the vectorial distances from an ideal match (or canonical illuminant). In this work we explore how much of the colour constancy phenomenon could be explained by well-known physiological properties of V1 and V2 neurons whose receptive fields (RF) vary according to the contrast and orientation of surround stimuli. Indeed, it has been shown that both RF size and the normalization occurring between centre and surround in cortical neurons depend on the local properties of surrounding stimuli. Our stating point is the construction of a computational model which includes this dynamical centre-surround adaptation by means of two overlapping asymmetric Gaussian kernels whose variances are adjusted to the contrast of surrounding pixels to represent the changes in RF size of cortical neurons and the weights of their respective contributions are altered according to differences in centre-surround contrast and orientation. The final output of the model is obtained after convolving an image with this dynamical operator and an estimation of the illuminant is obtained by considering the contrast of the far surround. We tested our algorithm on naturalistic stimuli from several benchmark datasets. Our results show that although our model does not require any training, its performance against the state-of-the-art is highly competitive, even outperforming learning-based algorithms in some cases. Indeed, these results are very encouraging if we consider that they were obtained with the same parameters for all datasets (i.e. just like the human visual system operates). | ||||
| Address |
Florida; USA; May 2016 | ||||
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| Area | Expedition | Conference | VSS | ||
| Notes | NEUROBIT | Approved | no | ||
| Call Number | Admin @ si @ PaA2016b | Serial | 2901 | ||
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| Author | Arash Akbarinia; Karl R. Gegenfurtner | ||||
| Title | Metameric Mismatching in Natural and Artificial Reflectances | Type | Journal Article | ||
| Year | 2017 | Publication | Journal of Vision | Abbreviated Journal | JV |
| Volume | 17 | Issue | 10 | Pages | 390-390 |
| Keywords | Metamer; colour perception; spectral discrimination; photoreceptors | ||||
| Abstract | The human visual system and most digital cameras sample the continuous spectral power distribution through three classes of receptors. This implies that two distinct spectral reflectances can result in identical tristimulus values under one illuminant and differ under another – the problem of metamer mismatching. It is still debated how frequent this issue arises in the real world, using naturally occurring reflectance functions and common illuminants.
We gathered more than ten thousand spectral reflectance samples from various sources, covering a wide range of environments (e.g., flowers, plants, Munsell chips) and evaluated their responses under a number of natural and artificial source of lights. For each pair of reflectance functions, we estimated the perceived difference using the CIE-defined distance ΔE2000 metric in Lab color space. The degree of metamer mismatching depended on the lower threshold value l when two samples would be considered to lead to equal sensor excitations (ΔE < l), and on the higher threshold value h when they would be considered different. For example, for l=h=1, we found that 43.129 comparisons out of a total of 6×107 pairs would be considered metameric (1 in 104). For l=1 and h=5, this number reduced to 705 metameric pairs (2 in 106). Extreme metamers, for instance l=1 and h=10, were rare (22 pairs or 6 in 108), as were instances where the two members of a metameric pair would be assigned to different color categories. Not unexpectedly, we observed variations among different reflectance databases and illuminant spectra with more frequency under artificial illuminants than natural ones. Overall, our numbers are not very different from those obtained earlier (Foster et al, JOSA A, 2006). However, our results also show that the degree of metamerism is typically not very strong and that category switches hardly ever occur. |
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| Address |
Florida, USA; May 2017 | ||||
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| Notes | NEUROBIT; no menciona | Approved | no | ||
| Call Number | Admin @ si @ AkG2017 | Serial | 2899 | ||
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| Author | Mireia Sole; Joan Blanco; Debora Gil; Oliver Valero; G. Fonseka; M. Lawrie; Francesca Vidal; Zaida Sarrate | ||||
| Title | Chromosome Territories in Mice Spermatogenesis: A new three-dimensional methodology of study | Type | Conference Article | ||
| Year | 2017 | Publication | 11th European CytoGenesis Conference | Abbreviated Journal | |
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| Address |
Florencia; Italia; July 2017 | ||||
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| Area | Expedition | Conference | ECA | ||
| Notes | IAM; 600.096; 600.145 | Approved | no | ||
| Call Number | Admin @ si @ SBG2017a | Serial | 2936 | ||
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