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Author | Ekain Artola | ||||
Title | Human Attention Map Prediction Combining Visual Features | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 160 | Issue | Pages | ||
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Corporate Author | Thesis | Bachelor's thesis | |||
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Notes | Approved | no | |||
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Admin @ si @ Art2010 | Serial | 1352 | ||
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Author | Thierry Brouard; A. Delaplace; Muhammad Muzzamil Luqman; H. Cardot; Jean-Yves Ramel | ||||
Title | Design of Evolutionary Methods Applied to the Learning of Bayesian Nerwork Structures | Type | Book Chapter | ||
Year | 2010 | Publication | Bayesian Network | Abbreviated Journal | |
Volume | Issue | Pages | 13-37 | ||
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Publisher | Sciyo | Place of Publication | Editor | Ahmed Rebai | |
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ISSN | ISBN | 978-953-307-124-4 | Medium | ||
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Notes | Approved | no | |||
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Admin @ si @ BDL2010 | Serial | 1461 | ||
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Author | Miguel Angel Bautista; Sergio Escalera; Xavier Baro; Oriol Pujol; Jordi Vitria; Petia Radeva | ||||
Title | Compact Evolutive Design of Error-Correcting Output Codes. Supervised and Unsupervised Ensemble Methods and Applications | Type | Conference Article | ||
Year | 2010 | Publication | European Conference on Machine Learning | Abbreviated Journal | |
Volume | I | Issue | Pages | 119-128 | |
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Area | Expedition | Conference | ECML | ||
Notes | MILAB; OR;HUPBA;MV | Approved | no | ||
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Admin @ si @ BEB2010 | Serial | 1775 | ||
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Author | Jorge Bernal; F. Javier Sanchez; Fernando Vilariño | ||||
Title | Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions | Type | Conference Article | ||
Year | 2010 | Publication | 28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica | Abbreviated Journal | |
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Abstract | One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process. | ||||
Address | Madrid (Spain) | ||||
Corporate Author | Thesis | ||||
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Area | 800 | Expedition | Conference | CASEIB | |
Notes | MV;SIAI | Approved | no | ||
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Admin @ si @ BSV2010 | Serial | 1469 | ||
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Author | Jorge Bernal; Fernando Vilariño; F. Javier Sanchez | ||||
Title | Feature Detectors and Feature Descriptors: Where We Are Now | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 154 | Issue | Pages | ||
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Abstract | Feature Detection and Feature Description are clearly nowadays topics. Many Computer Vision applications rely on the use of several of these techniques in order to extract the most significant aspects of an image so they can help in some tasks such as image retrieval, image registration, object recognition, object categorization and texture classification, among others. In this paper we define what Feature Detection and Description are and then we present an extensive collection of several methods in order to show the different techniques that are being used right now. The aim of this report is to provide a glimpse of what is being used currently in these fields and to serve as a starting point for future endeavours. | ||||
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Area | 800 | Expedition | Conference | ||
Notes | MV;SIAI | Approved | no | ||
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Admin @ si @ BVS2010; IAM @ iam @ BVS2010 | Serial | 1348 | ||
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Author | Mathieu Nicolas Delalandre; Jean-Yves Ramel; Ernest Valveny; Muhammad Muzzamil Luqman | ||||
Title | A Performance Characterization Algorithm for Symbol Localization | 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 | 260–271 | |
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Abstract | In this paper we present an algorithm for performance characterization of symbol localization systems. This algorithm is aimed to be a more “reliable” and “open” solution to characterize the performance. To achieve that, it exploits only single points as the result of localization and offers the possibility to reconsider the localization results provided by a system. We use the information about context in groundtruth, and overall localization results, to detect the ambiguous localization results. A probability score is computed for each matching between a localization point and a groundtruth region, depending on the spatial distribution of the other regions in the groundtruth. Final characterization is given with detection rate/probability score plots, describing the sets of possible interpretations of the localization results, according to a given confidence rate. We present experimentation details along with the results for the symbol localization system of [1], exploiting a synthetic dataset of architectural floorplans and electrical diagrams (composed of 200 images and 3861 symbols). | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-13727-3 | Medium | |
Area | Expedition | Conference | GREC | ||
Notes | DAG | Approved | no | ||
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Admin @ si @ DRV2010 | Serial | 2406 | ||
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Author | Anjan Dutta | ||||
Title | Symbol Spotting in Graphical Documents by Serialized Subgraph Matching | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 159 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | DAG | Approved | no | ||
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Admin @ si @ Dut2010 | Serial | 1351 | ||
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Author | Carles Fernandez | ||||
Title | Understanding Image Sequences: the Role of Ontologies in Cognitive Vision | Type | Book Whole | ||
Year | 2010 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | The increasing ubiquitousness of digital information in our daily lives has positioned
video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users. In this thesis we tackle the problem of recognizing and describing meaningful events in video sequences from different domains, and communicating the resulting knowledge to end-users by means of advanced interfaces for human–computer interaction. This problem is addressed by designing the high-level modules of a cognitive vision framework exploiting ontological knowledge. Ontologies allow us to define the relevant concepts in a domain and the relationships among them; we prove that the use of ontologies to organize, centralize, link, and reuse different types of knowledge is a key factor in the materialization of our objectives. The proposed framework contributes to: (i) automatically learn the characteristics of different scenarios in a domain; (ii) reason about uncertain, incomplete, or vague information from visual –camera’s– or linguistic –end-user’s– inputs; (iii) derive plausible interpretations of complex events from basic spatiotemporal developments; (iv) facilitate natural interfaces that adapt to the needs of end-users, and allow them to communicate efficiently with the system at different levels of interaction; and finally, (v) find mechanisms to guide modeling processes, maintain and extend the resulting models, and to exploit multimodal resources synergically to enhance the former tasks. We describe a holistic methodology to achieve these goals. First, the use of prior taxonomical knowledge is proved useful to guide MAP-MRF inference processes in the automatic identification of semantic regions, with independence of a particular scenario. Towards the recognition of complex video events, we combine fuzzy metric-temporal reasoning with SGTs, thus assessing high-level interpretations from spatiotemporal data. Here, ontological resources like T–Boxes, onomasticons, or factual databases become useful to derive video indexing and retrieval capabilities, and also to forward highlighted content to smart user interfaces. There, we explore the application of ontologies to discourse analysis and cognitive linguistic principles, or scene augmentation techniques towards advanced communication by means of natural language dialogs and synthetic visualizations. Ontologies become fundamental to coordinate, adapt, and reuse the different modules in the system. The suitability of our ontological framework is demonstrated by a series of applications that especially benefit the field of smart video surveillance, viz. automatic generation of linguistic reports about the content of video sequences in multiple natural languages; content-based filtering and summarization of these reports; dialogue-based interfaces to query and browse video contents; automatic learning of semantic regions in a scenario; and tools to evaluate the performance of components and models in the system, via simulation and augmented reality. |
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Address | |||||
Corporate Author | Thesis | Ph.D. thesis | |||
Publisher | Ediciones Graficas Rey | Place of Publication | Editor | Jordi Gonzalez;Xavier Roca | |
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-84-937261-2-6 | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
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Admin @ si @ Fer2010a | Serial | 1333 | ||
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Author | David Fernandez | ||||
Title | Handwritten Word Spotting in Old Manuscript Images using Shape Descriptors | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 161 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | DAG | Approved | no | ||
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Admin @ si @ Fer2010b | Serial | 1353 | ||
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Author | Albert Gordo; Florent Perronnin | ||||
Title | A Bag-of-Pages Approach to Unordered Multi-Page Document Classification | Type | Conference Article | ||
Year | 2010 | Publication | 20th International Conference on Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 1920–1923 | ||
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Abstract | We consider the problem of classifying documents containing multiple unordered pages. For this purpose, we propose a novel bag-of-pages document representation. To represent a document, one assigns every page to a prototype in a codebook of pages. This leads to a histogram representation which can then be fed to any discriminative classifier. We also consider several refinements over this initial approach. We show on two challenging datasets that the proposed approach significantly outperforms a baseline system. | ||||
Address | Istanbul (Turkey) | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
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Series Volume | Series Issue | Edition | |||
ISSN | 1051-4651 | ISBN | 978-1-4244-7542-1 | Medium | |
Area | Expedition | Conference | ICPR | ||
Notes | DAG | Approved | no | ||
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Admin @ si @ GoP2010 | Serial | 1480 | ||
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Author | Antonio Hernandez | ||||
Title | Pose and Face Recovery via Spatio-temporal GrabCut Human Segmentation | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 153 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | HUPBA;MILAB | Approved | no | ||
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Admin @ si @ Her2010 | Serial | 1347 | ||
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Author | Salim Jouili; Salvatore Tabbone; Ernest Valveny | ||||
Title | Comparing Graph Similarity Measures for Graphical Recognition | 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 | 37-48 | |
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Abstract | In this paper we evaluate four graph distance measures. The analysis is performed for document retrieval tasks. For this aim, different kind of documents are used including line drawings (symbols), ancient documents (ornamental letters), shapes and trademark-logos. The experimental results show that the performance of each graph distance measure depends on the kind of data and the graph representation technique. | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
Series Volume | Series Issue | Edition | |||
ISSN | 0302-9743 | ISBN | 978-3-642-13727-3 | Medium | |
Area | Expedition | Conference | GREC | ||
Notes | DAG | Approved | no | ||
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Admin @ si @ JTV2010 | Serial | 2404 | ||
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Author | Carolina Malagelada; F.De Lorio; Fernando Azpiroz; Santiago Segui; Petia Radeva; Anna Accarino; J.Santos; Juan R. Malagelada | ||||
Title | Intestinal Dysmotility in Patients with Functional Intestinal Disorders Demonstrated by Computer Vision Analysis of Capsule Endoscopy Images | Type | Conference Article | ||
Year | 2010 | Publication | 18th United European Gastroenterology Week | Abbreviated Journal | |
Volume | 56 | Issue | 3 | Pages | A19-20 |
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Address | Barcelona | ||||
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Area | Expedition | Conference | UEGW | ||
Notes | MILAB | Approved | no | ||
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Admin @ si @ MLA2010 | Serial | 1779 | ||
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Author | Ahmed Mounir Gad | ||||
Title | Object Localization Enhancement by Multiple Segmentation Fusion | Type | Report | ||
Year | 2010 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 152 | Issue | Pages | ||
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Corporate Author | Thesis | Master's thesis | |||
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Notes | Approved | no | |||
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Admin @ si @ Mou2010 | Serial | 1346 | ||
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Author | Naila Murray; Eduard Vazquez | ||||
Title | Lacuna Restoration: How to choose a neutral colour? | Type | Conference Article | ||
Year | 2010 | Publication | Proceedings of The CREATE 2010 Conference | Abbreviated Journal | |
Volume | Issue | Pages | 248–252 | ||
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Abstract | Painting restoration which involves filling in material loss (called lacuna) is a complex process. Several standard techniques exist to tackle lacuna restoration,
and this article focuses on those techniques that employ a “neutral” colour to mask the defect. Restoration experts often disagree on the choice of such a colour and in fact, the concept of a neutral colour is controversial. We posit that a neutral colour is one that attracts relatively little visual attention for a specific lacuna. We conducted an eye tracking experiment to compare two common neutral colour selection methods, specifically the most common local colour and the mean local colour. Results obtained demonstrate that the most common local colour triggers less visual attention in general. Notwithstanding, we have observed instances in which the most common colour triggers a significant amount of attention when subjects spent time resolving their confusion about whether or not a lacuna was part of the painting. |
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Address | Gjovik, Norway | ||||
Corporate Author | Thesis | ||||
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Area | Expedition | Conference | CREATE | ||
Notes | CIC | Approved | no | ||
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Admin @ si @ MuV2010 | Serial | 1297 | ||
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