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| Author | Razieh Rastgoo; Kourosh Kiani; Sergio Escalera | ||||
Title  |
A deep co-attentive hand-based video question answering framework using multi-view skeleton | Type | Journal Article | ||
| Year | 2023 | Publication | Multimedia Tools and Applications | Abbreviated Journal | MTAP |
| Volume | 82 | Issue | Pages | 1401–1429 | |
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| Abstract | In this paper, we present a novel hand –based Video Question Answering framework, entitled Multi-View Video Question Answering (MV-VQA), employing the Single Shot Detector (SSD), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Bidirectional Encoder Representations from Transformers (BERT), and Co-Attention mechanism with RGB videos as the inputs. Our model includes three main blocks: vision, language, and attention. In the vision block, we employ a novel representation to obtain some efficient multiview features from the hand object using the combination of five 3DCNNs and one LSTM network. To obtain the question embedding, we use the BERT model in language block. Finally, we employ a co-attention mechanism on vision and language features to recognize the final answer. For the first time, we propose such a hand-based Video-QA framework including the multi-view hand skeleton features combined with the question embedding and co-attention mechanism. Our framework is capable of processing the arbitrary numbers of questions in the dataset annotations. There are different application domains for this framework. Here, as an application domain, we applied our framework to dynamic hand gesture recognition for the first time. Since the main object in dynamic hand gesture recognition is the human hand, we performed a step-by-step analysis of the hand detection and multi-view hand skeleton impact on the model performance. Evaluation results on five datasets, including two datasets in VideoQA, two datasets in dynamic hand gesture, and one dataset in hand action recognition show that MV-VQA outperforms state-of-the-art alternatives. | ||||
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| Notes | HUPBA | Approved | no | ||
| Call Number | Admin @ si @ RKE2023b | Serial | 3881 | ||
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| Author | Jaykishan Patel; Alban Flachot; Javier Vazquez; David H. Brainard; Thomas S. A. Wallis; Marcus A. Brubaker; Richard F. Murray | ||||
| Title |
A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions | Type | Journal Article | ||
| Year | 2023 | Publication | Journal of Vision | Abbreviated Journal | JV |
| Volume | 23 | Issue | 9 | Pages | 4817-4817 |
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| Abstract | A long-standing view is that lightness illusions are by-products of strategies employed by the visual system to stabilize its perceptual representation of surface reflectance against changes in illumination. Computationally, one such strategy is to infer reflectance from the retinal image, and to base the lightness percept on this inference. CNNs trained to infer reflectance from images have proven successful at solving this problem under limited conditions. To evaluate whether these CNNs provide suitable starting points for computational models of human lightness perception, we tested a state-of-the-art CNN on several lightness illusions, and compared its behaviour to prior measurements of human performance. We trained a CNN (Yu & Smith, 2019) to infer reflectance from luminance images. The network had a 30-layer hourglass architecture with skip connections. We trained the network via supervised learning on 100K images, rendered in Blender, each showing randomly placed geometric objects (surfaces, cubes, tori, etc.), with random Lambertian reflectance patterns (solid, Voronoi, or low-pass noise), under randomized point+ambient lighting. The renderer also provided the ground-truth reflectance images required for training. After training, we applied the network to several visual illusions. These included the argyle, Koffka-Adelson, snake, White’s, checkerboard assimilation, and simultaneous contrast illusions, along with their controls where appropriate. The CNN correctly predicted larger illusions in the argyle, Koffka-Adelson, and snake images than in their controls. It also correctly predicted an assimilation effect in White's illusion. It did not, however, account for the checkerboard assimilation or simultaneous contrast effects. These results are consistent with the view that at least some lightness phenomena are by-products of a rational approach to inferring stable representations of physical properties from intrinsically ambiguous retinal images. Furthermore, they suggest that CNN models may be a promising starting point for new models of human lightness perception. | ||||
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| Notes | MACO; CIC | Approved | no | ||
| Call Number | Admin @ si @ PFV2023 | Serial | 3890 | ||
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| Author | Patricia Suarez; Dario Carpio; Angel Sappa | ||||
| Title |
A Deep Learning Based Approach for Synthesizing Realistic Depth Maps | Type | Conference Article | ||
| Year | 2023 | Publication | 22nd International Conference on Image Analysis and Processing | Abbreviated Journal | |
| Volume | 14234 | Issue | Pages | 369–380 | |
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| Abstract | This paper presents a novel cycle generative adversarial network (CycleGAN) architecture for synthesizing high-quality depth maps from a given monocular image. The proposed architecture uses multiple loss functions, including cycle consistency, contrastive, identity, and least square losses, to enable the generation of realistic and high-fidelity depth maps. The proposed approach addresses this challenge by synthesizing depth maps from RGB images without requiring paired training data. Comparisons with several state-of-the-art approaches are provided showing the proposed approach overcome other approaches both in terms of quantitative metrics and visual quality. | ||||
| Address | Udine; Italia; Setember 2023 | ||||
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| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | ICIAP | ||
| Notes | MSIAU | Approved | no | ||
| Call Number | Admin @ si @ SCS2023a | Serial | 3968 | ||
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| Author | Jon Almazan; Alicia Fornes; Ernest Valveny | ||||
| Title |
A Deformable HOG-based Shape Descriptor | Type | Conference Article | ||
| Year | 2013 | Publication | 12th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 1022-1026 | ||
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| Abstract | In this paper we deal with the problem of recognizing handwritten shapes. We present a new deformable feature extraction method that adapts to the shape to be described, dealing in this way with the variability introduced in the handwriting domain. It consists in a selection of the regions that best define the shape to be described, followed by the computation of histograms of oriented gradients-based features over these points. Our results significantly outperform other descriptors in the literature for the task of hand-drawn shape recognition and handwritten word retrieval | ||||
| Address | Washington; USA; August 2013 | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1520-5363 | ISBN | Medium | ||
| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ AFV2013 | Serial | 2326 | ||
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| Author | Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva | ||||
| Title |
A Deterministic-Statistic Adventitia Detection in IVUS Images | Type | Conference Article | ||
| Year | 2005 | Publication | ESC Congress | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Electron microscopy; Unbending; 2D crystal; Interpolation; Approximation | ||||
| Abstract | Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles. | ||||
| Address | Stockholm; Sweden; September 2005 | ||||
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| Publisher | Place of Publication | ,Sweden (EU) | Editor | ||
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| Area | Expedition | Conference | ESC | ||
| Notes | IAM;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ RMF2005a | Serial | 1523 | ||
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| Author | Debora Gil; Aura Hernandez-Sabate; Antoni Carol; Oriol Rodriguez; Petia Radeva | ||||
| Title |
A Deterministic-Statistic Adventitia Detection in IVUS Images | Type | Conference Article | ||
| Year | 2005 | Publication | 3rd International workshop on International Workshop on Functional Imaging and Modeling of the Heart | Abbreviated Journal | |
| Volume | Issue | Pages | 65-74 | ||
| Keywords | Electron microscopy; Unbending; 2D crystal; Interpolation; Approximation | ||||
| Abstract | Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification strategy for selecting points on the structure. Whatever the set of descriptors used, the selection stage suffers from fake responses due to noise and uncompleted true curves. In order to smooth background noise while strengthening responses, we apply a restricted anisotropic filter that homogenizes grey levels along the image significant structures. Candidate points are extracted by means of a simple semi supervised adaptive classification of the filtered image response to edge and calcium detectors. The final model is obtained by interpolating the former line segments with an anisotropic contour closing technique based on functional extension principles. | ||||
| Address | Barcelona; June 2005 | ||||
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| Area | Expedition | Conference | FIMH | ||
| Notes | IAM;MILAB | Approved | no | ||
| Call Number | IAM @ iam @ RMF2005 | Serial | 1524 | ||
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| Author | Aura Hernandez-Sabate; Debora Gil; Petia Radeva | ||||
| Title |
A Deterministic-Statistical Strategy for Adventitia Segmentation in IVUS images | Type | Report | ||
| Year | 2005 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | Issue | 89 | Pages | ||
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| Abstract | A useful tool for some specific studies in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts and blurred signal response due to ultrasound physical properties troubles automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. | ||||
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| Notes | IAM; MILAB | Approved | no | ||
| Call Number | IAM @ iam @ HGR2005a | Serial | 1548 | ||
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| Author | A. Martinez; Jordi Vitria | ||||
| Title |
A Development Plataform for Autonomous Agents. | Type | Journal Article | ||
| Year | 1995 | Publication | ASI–AA–95 – Practice and Future of Autonomous Agents. | Abbreviated Journal | |
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| Address | Monte Verita, Switzerland. | ||||
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ MaV1995b | Serial | 123 | ||
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| Author | Francesc Tanarro Marquez; Pau Gratacos Marti; F. Javier Sanchez; Joan Ramon Jimenez Minguell; Coen Antens; Enric Sala i Esteva | ||||
| Title |
A device for monitoring condition of a railway supply | Type | Patent | ||
| Year | 2012 | Publication | EP 2 404 777 A1 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
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| Abstract | of a railway supply line when the supply line is in contact with a head of a pantograph of a vehicle in order to power said vehicle . The device includes a camera ( for monitoring parameters indicative of operating capability of said supply line.
The device is intended to monitor condition tive of operating capability of said supply line. The device includes a reflective element. comprising a pattern , intended to be arranged onto the pantograph head . The camera is intended to be arranged on the vehicle (10) so as to register the pattern position regarding a vertical direction. |
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| Corporate Author | ALSTOM Transport SA | Thesis | |||
| Publisher | European Patent Office | Place of Publication | Editor | ||
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| Notes | MV | Approved | no | ||
| Call Number | IAM @ iam @ MMS2012 | Serial | 1854 | ||
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| Author | Bogdan Raducanu; Fadi Dornaika | ||||
| Title |
A Discriminative Non-Linear Manifold Learning Technique for Face Recognition | Type | Book Chapter | ||
| Year | 2011 | Publication | Informatics Engineering and Information Science | Abbreviated Journal | |
| Volume | 254 | Issue | 6 | Pages | 339-353 |
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| Abstract | In this paper we propose a novel non-linear discriminative analysis technique for manifold learning. The proposed approach is a discriminant version of Laplacian Eigenmaps which takes into account the class label information in order to guide the procedure of non-linear dimensionality reduction. By following the large margin concept, the graph Laplacian is split in two components: within-class graph and between-class graph to better characterize the discriminant property of the data.
Our approach has been tested on several challenging face databases and it has been conveniently compared with other linear and non-linear techniques. The experimental results confirm that our method outperforms, in general, the existing ones. Although we have concentrated in this paper on the face recognition problem, the proposed approach could also be applied to other category of objects characterized by large variance in their appearance. |
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| Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
| Language | Summary Language | Original Title | |||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1865-0929 | ISBN | 978-3-642-25482-6 | Medium | |
| Area | Expedition | Conference | ICIEIS | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | Admin @ si @ RaD2011 | Serial | 1804 | ||
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| Author | Nicola Bellotto; Eric Sommerlade; Ben Benfold; Charles Bibby; I. Reid; Daniel Roth; Luc Van Gool; Carles Fernandez; Jordi Gonzalez | ||||
| Title |
A Distributed Camera System for Multi-Resolution Surveillance | Type | Conference Article | ||
| Year | 2009 | Publication | 3rd ACM/IEEE International Conference on Distributed Smart Cameras | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | 10.1109/ICDSC.2009.5289413 | ||||
| Abstract | We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in a simple and effective way via a central repository, implemented using an SQL database. Visual tracking data from static views are stored dynamically into tables in the database via client calls to the SQL server. A supervisor process running on the SQL server determines if active zoom cameras should be dispatched to observe a particular target, and this message is effected via writing demands into another database table. We show results from a real implementation of the system comprising one static camera overviewing the environment under consideration and a PTZ camera operating under closed-loop velocity control, which uses a fast and robust level-set-based region tracker. Experiments demonstrate the effectiveness of our approach and its feasibility to multi-camera systems for intelligent surveillance. | ||||
| Address | Como, Italy | ||||
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| Area | Expedition | Conference | ICDSC | ||
| Notes | Approved | no | |||
| Call Number | ISE @ ise @ BSB2009 | Serial | 1205 | ||
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| Author | Carme Julia; Felipe Lumbreras; Angel Sappa | ||||
| Title |
A Factorization-based Approach to Photometric Stereo | Type | Journal Article | ||
| Year | 2011 | Publication | International Journal of Imaging Systems and Technology | Abbreviated Journal | IJIST |
| Volume | 21 | Issue | 1 | Pages | 115-119 |
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| Abstract | This article presents an adaptation of a factorization technique to tackle the photometric stereo problem. That is to recover the surface normals and reflectance of an object from a set of images obtained under different lighting conditions. The main contribution of the proposed approach is to consider pixels in shadow and saturated regions as missing data, in order to reduce their influence to the result. Concretely, an adapted Alternation technique is used to deal with missing data. Experimental results considering both synthetic and real images show the viability of the proposed factorization-based strategy. © 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 115–119, 2011. | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ JLS2011; ADAS @ adas @ | Serial | 1711 | ||
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| Author | Mohammad Rouhani; Angel Sappa | ||||
| Title |
A Fast accurate Implicit Polynomial Fitting Approach | Type | Conference Article | ||
| Year | 2010 | Publication | 17th IEEE International Conference on Image Processing | Abbreviated Journal | |
| Volume | Issue | Pages | 1429–1432 | ||
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| Abstract | This paper presents a novel hybrid approach that combines state of the art fitting algorithms: algebraic-based and geometric-based. It consists of two steps; first, the 3L algorithm is used as an initialization and then, the obtained result, is improved through a geometric approach. The adopted geometric approach is based on a distance estimation that avoids costly search for the real orthogonal distance. Experimental results are presented as well as quantitative comparisons. | ||||
| Address | Hong-Kong | ||||
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| ISSN | 1522-4880 | ISBN | 978-1-4244-7992-4 | Medium | |
| Area | Expedition | Conference | ICIP | ||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ RoS2010b | Serial | 1359 | ||
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| Author | Mathieu Nicolas Delalandre; Jean-Marc Ogier; Josep Llados | ||||
| Title |
A Fast Cbir System of Old Ornamental Letter | Type | Book Chapter | ||
| Year | 2008 | Publication | Graphics Reognition: Recent Advances and New Opportunities | Abbreviated Journal | |
| Volume | 5046 | Issue | Pages | 135–144 | |
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| Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Notes | DAG | Approved | no | ||
| Call Number | DAG @ dag @ DOL2008 | Serial | 987 | ||
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| Author | Lluis Gomez; Dimosthenis Karatzas | ||||
| Title |
A fast hierarchical method for multi‐script and arbitrary oriented scene text extraction | Type | Journal Article | ||
| Year | 2016 | Publication | International Journal on Document Analysis and Recognition | Abbreviated Journal | IJDAR |
| Volume | 19 | Issue | 4 | Pages | 335-349 |
| Keywords | scene text; segmentation; detection; hierarchical grouping; perceptual organisation | ||||
| Abstract | Typography and layout lead to the hierarchical organisation of text in words, text lines, paragraphs. This inherent structure is a key property of text in any script and language, which has nonetheless been minimally leveraged by existing text detection methods. This paper addresses the problem of text
segmentation in natural scenes from a hierarchical perspective. Contrary to existing methods, we make explicit use of text structure, aiming directly to the detection of region groupings corresponding to text within a hierarchy produced by an agglomerative similarity clustering process over individual regions. We propose an optimal way to construct such an hierarchy introducing a feature space designed to produce text group hypotheses with high recall and a novel stopping rule combining a discriminative classifier and a probabilistic measure of group meaningfulness based in perceptual organization. Results obtained over four standard datasets, covering text in variable orientations and different languages, demonstrate that our algorithm, while being trained in a single mixed dataset, outperforms state of the art methods in unconstrained scenarios. |
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| Notes | DAG; 600.056; 601.197 | Approved | no | ||
| Call Number | Admin @ si @ GoK2016a | Serial | 2862 | ||
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