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Author | Javier Vazquez; Maria Vanrell; Anna Salvatella; Eduard Vazquez | ||||
Title | A colour space based on the image content | Type | Book Chapter | ||
Year | 2007 | Publication | Artificial Intelligence Research and Development, C. Angulo and L. Godo, pp 205–212 IOS Press | Abbreviated Journal | |
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ VVS2007 | Serial | 829 | ||
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Author | Joan Mas; Gemma Sanchez; Josep Llados | ||||
Title | An Adjacency Grammar to Recognize Symbols and Gestures in a Digital Pen Framework | Type | Book Chapter | ||
Year | 2005 | Publication | Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3523: 115–122 | Abbreviated Journal | |
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Address | Estoril (Portugal) | ||||
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Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ MSL2005a | Serial | 558 | ||
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Author | Joan Mas; Gemma Sanchez; Josep Llados | ||||
Title | SSP: Sketching slide Presentations, a Syntactic Approach | Type | Book Chapter | ||
Year | 2010 | Publication | Graphics Recognition. Achievements, Challenges, and Evolution. 8th International Workshop, GREC 2009. Selected Papers | Abbreviated Journal | |
Volume | 6020 | Issue | Pages | 118-129 | |
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Abstract | The design of a slide presentation is a creative process. In this process first, humans visualize in their minds what they want to explain. Then, they have to be able to represent this knowledge in an understandable way. There exists a lot of commercial software that allows to create our own slide presentations but the creativity of the user is rather limited. In this article we present an application that allows the user to create and visualize a slide presentation from a sketch. A slide may be seen as a graphical document or a diagram where its elements are placed in a particular spatial arrangement. To describe and recognize slides a syntactic approach is proposed. This approach is based on an Adjacency Grammar and a parsing methodology to cope with this kind of grammars. The experimental evaluation shows the performance of our methodology from a qualitative and a quantitative point of view. Six different slides containing different number of symbols, from 4 to 7, have been given to the users and they have drawn them without restrictions in the order of the elements. The quantitative results give an idea on how suitable is our methodology to describe and recognize the different elements in a slide. | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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ISSN | 0302-9743 | ISBN | 978-3-642-13727-3 | Medium | |
Area | Expedition | Conference | GREC | ||
Notes | DAG | Approved | no | ||
Call Number | MSL2010 | Serial | 2405 | ||
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Author | Joan Mas; J.A. Jorge; Gemma Sanchez; Josep Llados | ||||
Title | Representing and Parsing Sketched Symbols using Adjacency Grammars and a Grid-Directed Parser | Type | Book Chapter | ||
Year | 2008 | Publication | Graphics Recognition: Recent Advances and New Opportunities, | Abbreviated Journal | |
Volume | 5046 | Issue | Pages | 176–187 | |
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Publisher | Place of Publication | Editor | W. Liu, J. Llados, J.M. Ogier | ||
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Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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Notes | DAG | Approved | no | ||
Call Number | DAG @ dag @ MJS2008 | Serial | 991 | ||
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Author | Joana Maria Pujadas-Mora; Alicia Fornes; Josep Llados; Anna Cabre | ||||
Title | Bridging the gap between historical demography and computing: tools for computer-assisted transcription and the analysis of demographic sources | Type | Book Chapter | ||
Year | 2016 | Publication | The future of historical demography. Upside down and inside out | Abbreviated Journal | |
Volume | Issue | Pages | 127-131 | ||
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Publisher | Acco Publishers | Place of Publication | Editor | K.Matthijs; S.Hin; H.Matsuo; J.Kok | |
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ISSN | ISBN | 978-94-6292-722-3 | Medium | ||
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Notes | DAG; 600.097 | Approved | no | ||
Call Number | Admin @ si @ PFL2016 | Serial | 2907 | ||
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Author | Joana Maria Pujadas-Mora; Alicia Fornes; Josep Llados; Gabriel Brea-Martinez; Miquel Valls-Figols | ||||
Title | The Baix Llobregat (BALL) Demographic Database, between Historical Demography and Computer Vision (nineteenth–twentieth centuries | Type | Book Chapter | ||
Year | 2019 | Publication | Nominative Data in Demographic Research in the East and the West: monograph | Abbreviated Journal | |
Volume | Issue | Pages | 29-61 | ||
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Abstract | The Baix Llobregat (BALL) Demographic Database is an ongoing database project containing individual census data from the Catalan region of Baix Llobregat (Spain) during the nineteenth and twentieth centuries. The BALL Database is built within the project ‘NETWORKS: Technology and citizen innovation for building historical social networks to understand the demographic past’ directed by Alícia Fornés from the Center for Computer Vision and Joana Maria Pujadas-Mora from the Center for Demographic Studies, both at the Universitat Autònoma de Barcelona, funded by the Recercaixa program (2017–2019).
Its webpage is http://dag.cvc.uab.es/xarxes/.The aim of the project is to develop technologies facilitating massive digitalization of demographic sources, and more specifically the padrones (local censuses), in order to reconstruct historical ‘social’ networks employing computer vision technology. Such virtual networks can be created thanks to the linkage of nominative records compiled in the local censuses across time and space. Thus, digitized versions of individual and family lifespans are established, and individuals and families can be located spatially. |
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ISSN | ISBN | 978-5-7996-2656-3 | Medium | ||
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Notes | DAG; 600.121 | Approved | no | ||
Call Number | Admin @ si @ PFL2019 | Serial | 3351 | ||
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Author | Joaquin Salas; P. Martinez; Jordi Gonzalez | ||||
Title | Background Updating with the Use of Intrinsic Curves | Type | Book Chapter | ||
Year | 2006 | Publication | International Conference on Image Analysis and Recognition (ICIAR´06), LNCS 4141 (A. Campilho et al., eds.), 1: 731–742, ISBN 978–3–540–44891–4 | Abbreviated Journal | |
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Notes | Approved | no | |||
Call Number | ISE @ ise @ SMG2006 | Serial | 768 | ||
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Author | Jon Almazan; Lluis Gomez; Suman Ghosh; Ernest Valveny; Dimosthenis Karatzas | ||||
Title | WATTS: A common representation of word images and strings using embedded attributes for text recognition and retrieval | Type | Book Chapter | ||
Year | 2020 | Publication | Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis | Abbreviated Journal | |
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Publisher | Springer | Place of Publication | Editor | Analysis”, K. Alahari; C.V. Jawahar | |
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Series Editor | Series Title | Series on Advances in Computer Vision and Pattern Recognition | Abbreviated Series Title | ||
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Notes | DAG; 600.121 | Approved | no | ||
Call Number | Admin @ si @ AGG2020 | Serial | 3496 | ||
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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 | Abbreviated Journal | |
Volume | 48 | Issue | Pages | 31-35 | |
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Abstract | 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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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | Angel Sappa; Jordi Vitria | |
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ISSN | 1868-4394 | ISBN | 978-3-642-35931-6 | Medium | |
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Notes | CIC; 605.203; 600.048 | Approved | no | ||
Call Number | Admin @ si @ WKC2013 | Serial | 2284 | ||
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Author | Joost Van de Weijer; Robert Benavente; Maria Vanrell; Cordelia Schmid; Ramon Baldrich; Jacob Verbeek; Diane Larlus | ||||
Title | Color Naming | Type | Book Chapter | ||
Year | 2012 | Publication | Color in Computer Vision: Fundamentals and Applications | Abbreviated Journal | |
Volume | Issue | 17 | Pages | 287-317 | |
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Publisher | John Wiley & Sons, Ltd. | Place of Publication | Editor | Theo Gevers;Arjan Gijsenij;Joost Van de Weijer;Jan-Mark Geusebroek | |
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Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ WBV2012 | Serial | 2063 | ||
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Author | Jordi Vitria; Petia Radeva; I. Aguilo | ||||
Title | Recent Advances in Artificial Intelligence Research and Development | Type | Book Chapter | ||
Year | 2004 | Publication | Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 | Abbreviated Journal | |
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Address | Amsterdam | ||||
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Notes | OR;MILAB;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VRA2004 | Serial | 509 | ||
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Author | Jordina Torrents-Barrena; Aida Valls; Petia Radeva; Meritxell Arenas; Domenec Puig | ||||
Title | Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis | Type | Book Chapter | ||
Year | 2015 | Publication | Artificial Intelligence Research and Development | Abbreviated Journal | |
Volume | 277 | Issue | Pages | 247 - 256 | |
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Abstract | Breast cancer disease has recently been classified into four subtypes regarding the molecular properties of the affected tumor region. For each patient, an accurate diagnosis of the specific type is vital to decide the most appropriate therapy in order to enhance life prospects. Nowadays, advanced therapeutic diagnosis research is focused on gene selection methods, which are not robust enough. Hence, we hypothesize that computer vision algorithms can offer benefits to address the problem of discriminating among them through X-Ray images. In this paper, we propose a novel approach driven by texture feature descriptors and machine learning techniques. First, we segment the tumour part through an active contour technique and then, we perform a complete fractal analysis to collect qualitative information of the region of interest in the feature extraction stage. Finally, several supervised and unsupervised classifiers are used to perform multiclass classification of the aforementioned data. The experimental results presented in this paper support that it is possible to establish a relation between each tumor subtype and the extracted features of the patterns revealed on mammograms. | ||||
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Publisher | IOS Press | Place of Publication | Editor | ||
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Series Editor | Series Title | Frontiers in Artificial Intelligence and Applications | Abbreviated Series Title | ||
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Notes | MILAB | Approved | no | ||
Call Number | Admin @ si @TVR2015 | Serial | 2780 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Cristina Rodriguez de Miguel; Gloria Fernandez Esparrach | ||||
Title | Bulding up the future of colonoscopy: A synergy between clinicians and computer scientists | Type | Book Chapter | ||
Year | 2015 | Publication | Colonoscopy and Colorectal Cancer | Abbreviated Journal | |
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Keywords | Intelligent systems; Image properties; Validation; Clinical drawbacks; Endoluminal scene description | ||||
Abstract | Recent advances in endoscopic technology have generated an increasing interest in strengthening the collaboration between clinicians and computers scientist to develop intelligent systems that can provide additional information to clinicians in the different stages of an intervention. The objective of this chapter is to identify clinical drawbacks of colonoscopy in order to define potential areas of collaboration. Once areas are defined, we present the challenges that colonoscopy images present in order computational methods to provide with meaningful output, including those related to image formation and acquisition, as they are proven to have an impact in the performance of an intelligent system. Finally, we also propose how to define validation frameworks in order to assess the performance of a given method, making an special emphasis on how databases should be created and annotated and which metrics should be used to evaluate systems correctly. | ||||
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ISSN | ISBN | 978-953-51-2225-8 | Medium | ||
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Notes | MV | Approved | no | ||
Call Number | Admin @ si @ BSR2015 | Serial | 2624 | ||
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Author | Jorge Bernal; Fernando Vilariño; F. Javier Sanchez | ||||
Title | Towards Intelligent Systems for Colonoscopy | Type | Book Chapter | ||
Year | 2011 | Publication | Colonoscopy | Abbreviated Journal | |
Volume | 1 | Issue | Pages | 257-282 | |
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Abstract | In this chapter we present tools that can be used to build intelligent systems for colonoscopy.
The idea is, by using methods based on computer vision and artificial intelligence, add significant value to the colonoscopy procedure. Intelligent systems are being used to assist in other medical interventions |
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Publisher | Intech | Place of Publication | Editor | Paul Miskovitz | |
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ISSN | ISBN | 978-953-307-568-6 | Medium | ||
Area | 800 | Expedition | Conference | ||
Notes | MV;SIAI | Approved | no | ||
Call Number | IAM @ iam @ BVS2011 | Serial | 1697 | ||
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Author | Jorge Charco; Angel Sappa; Boris X. Vintimilla; Henry Velesaca | ||||
Title | Human Body Pose Estimation in Multi-view Environments | Type | Book Chapter | ||
Year | 2022 | Publication | ICT Applications for Smart Cities. Intelligent Systems Reference Library | Abbreviated Journal | |
Volume | 224 | Issue | Pages | 79-99 | |
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Abstract | This chapter tackles the challenging problem of human pose estimation in multi-view environments to handle scenes with self-occlusions. The proposed approach starts by first estimating the camera pose—extrinsic parameters—in multi-view scenarios; due to few real image datasets, different virtual scenes are generated by using a special simulator, for training and testing the proposed convolutional neural network based approaches. Then, these extrinsic parameters are used to establish the relation between different cameras into the multi-view scheme, which captures the pose of the person from different points of view at the same time. The proposed multi-view scheme allows to robustly estimate human body joints’ position even in situations where they are occluded. This would help to avoid possible false alarms in behavioral analysis systems of smart cities, as well as applications for physical therapy, safe moving assistance for the elderly among other. The chapter concludes by presenting experimental results in real scenes by using state-of-the-art and the proposed multi-view approaches. | ||||
Address | September 2022 | ||||
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Publisher | Springer | Place of Publication | Editor | ||
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Series Editor | Series Title | Abbreviated Series Title | ISRL | ||
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ISSN | ISBN | 978-3-031-06306-0 | Medium | ||
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Notes | MSIAU; MACO | Approved | no | ||
Call Number | Admin @ si @ CSV2022b | Serial | 3810 | ||
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