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| Author | Agnes Borras; Josep Llados | ||||
| Title | Object Image Retrieval by Shape Content in Complex Scenes Using Geometric Constraints | Type | Book Chapter | ||
| Year | 2005 | Publication | Pattern Recognition And Image Analysis | Abbreviated Journal | LNCS |
| Volume | 3522 | Issue | Pages | 325–332 | |
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| Abstract | This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are repre- sented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method al- lows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling. | ||||
| Address | Estoril (Portugal) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Springer Link | Place of Publication | Editor | ||
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| Notes | DAG; | Approved | no | ||
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DAG @ dag @ BoL2005; IAM @ iam @ BoL2005 | Serial | 556 | ||
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| Author | Agnes Borras; Josep Llados | ||||
| Title | Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination | Type | Book Chapter | ||
| Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120 | Abbreviated Journal | LNCS |
| Volume | 4478 | Issue | Pages | 33–39 | |
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| Abstract | This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications. | ||||
| Address | Girona (Spain) | ||||
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| Language | Summary Language | Original Title | |||
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| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-3-540-72848-1 | Medium | ||
| Area | Expedition | Conference | |||
| Notes | DAG; | Approved | no | ||
| Call Number |
DAG @ dag @ BoL2007a; IAM @ iam @ BoL2007a | Serial | 776 | ||
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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 | Agnes Borras; Josep Llados | ||||
| Title | Corest: A measure of color and space stability to detect salient regions according to human criteria | Type | Conference Article | ||
| Year | 2009 | Publication | 5th International Conference on Computer Vision Theory and Applications | Abbreviated Journal | |
| Volume | Issue | Pages | 204-209 | ||
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| Address | Lisboa, Portugal | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-989-8111-69-2 | Medium | ||
| Area | Expedition | Conference | VISAPP | ||
| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ BoL2009 | Serial | 1225 | ||
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| Author | Agnes Borras | ||||
| Title | High-Level Clothes Description Based on Colour-Texture Features. | Type | Miscellaneous | ||
| Year | 2002 | Publication | Director: J. Llados, Master Thesis. | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number |
DAG @ dag @ Bor2002 | Serial | 322 | ||
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| Author | Agnes Borras | ||||
| Title | Contributions to the Content-Based Image Retrieval Using Pictorial Queries | Type | Book Whole | ||
| Year | 2009 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | |
| Volume | Issue | Pages | |||
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| Abstract | The broad access to digital cameras, personal computers and Internet, has lead to the generation of large volumes of data in digital form. If we want an effective usage of this huge amount of data, we need automatic tools to allow the retrieval of relevant information. Image data is a particular type of information that requires specific techniques of description and indexing. The computer vision field that studies these kind of techniques is called Content-Based Image Retrieval (CBIR). Instead of using text-based descriptions, a system of CBIR deals on properties that are inherent in the images themselves. Hence, the feature-based description provides a universal via of image expression in contrast with the more than 6000 languages spoken in the world.
Nowadays, the CBIR is a dynamic focus of research that has derived in important applications for many professional groups. The potential fields of application can be such diverse as: the medical domain, the crime prevention, the protection of the intel- lectual property, the journalism, the graphic design, the web search, the preservation of cultural heritage, etc. The definition on the role of the user is a key point in the development of a CBIR application. The user is in charge to formulate the queries from which the images are retrieved. We have centered our attention on the image retrieval techniques that use queries based on pictorial information. We have identified a taxonomy composed by four main query paradigms: query-by-selection, query-by-iconic-composition, query- by-sketch and query-by-paint. Each one of these paradigms allows a different degree of user expressivity. From a simple image selection, to a complete painting of the query, the user takes control of the input in the CBIR system. Along the chapters of this thesis we have analyzed the influence that each query paradigm imposes in the internal operations of a CBIR system. Moreover, we have proposed a set of contributions that we have exemplified in the context of a final application. |
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| Address | Barcelona (Spain) | ||||
| Corporate Author | Thesis | Ph.D. thesis | |||
| Publisher | Ediciones Graficas Rey | Place of Publication | Bellaterra | Editor | Josep Llados |
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| Notes | DAG; | Approved | no | ||
| Call Number |
DAG @ dag @ Bor2009; IAM @ iam @ Bor2009 | Serial | 1269 | ||
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| Author | Bhaskar Chakraborty; Andrew Bagdanov; Jordi Gonzalez | ||||
| Title | Towards Real-Time Human Action Recognition | Type | Conference Article | ||
| Year | 2009 | Publication | 4th Iberian Conference on Pattern Recognition and Image Analysis | Abbreviated Journal | |
| Volume | 5524 | Issue | Pages | ||
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| Abstract | This work presents a novel approach to human detection based action-recognition in real-time. To realize this goal our method first detects humans in different poses using a correlation-based approach. Recognition of actions is done afterward based on the change of the angular values subtended by various body parts. Real-time human detection and action recognition are very challenging, and most state-of-the-art approaches employ complex feature extraction and classification techniques, which ultimately becomes a handicap for real-time recognition. Our correlation-based method, on the other hand, is computationally efficient and uses very simple gradient-based features. For action recognition angular features of body parts are extracted using a skeleton technique. Results for action recognition are comparable with the present state-of-the-art. | ||||
| Address | Póvoa de Varzim, Portugal | ||||
| Corporate Author | Thesis | ||||
| 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 | 978-3-642-02171-8 | Medium | |
| Area | Expedition | Conference | IbPRIA | ||
| Notes | ISE | Approved | no | ||
| Call Number |
DAG @ dag @ CBG2009 | Serial | 1215 | ||
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| Author | Ricard Coll; Alicia Fornes; Josep Llados | ||||
| Title | Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment | Type | Conference Article | ||
| Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 1081–1085 | ||
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| Abstract | The use of graphology in recruitment processes has become a popular tool in many human resources companies. This paper presents a model that links features from handwritten images to a number of personality characteristics used to measure applicant aptitudes for the job in a particular hiring scenario. In particular we propose a model of measuring active personality and leadership of the writer. Graphological features that define such a profile are measured in terms of document and script attributes like layout configuration, letter size, shape, slant and skew angle of lines, etc. After the extraction, data is classified using a neural network. An experimental framework with real samples has been constructed to illustrate the performance of the approach. | ||||
| Address | Barcelona, Spain | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1520-5363 | ISBN | 978-1-4244-4500-4 | Medium | |
| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ CFL2009 | Serial | 1221 | ||
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| Author | V. Chapaprieta; Ernest Valveny | ||||
| Title | Handwritten Digit Recognition Using Point Distribution Models. | Type | Miscellaneous | ||
| Year | 2001 | Publication | Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 1:49–54. | Abbreviated Journal | |
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| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ ChV2001 | Serial | 83 | ||
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| Author | Antonio Clavelli; Dimosthenis Karatzas; Josep Llados | ||||
| Title | A framework for the assessment of text extraction algorithms on complex colour images | Type | Conference Article | ||
| Year | 2010 | Publication | 9th IAPR International Workshop on Document Analysis Systems | Abbreviated Journal | |
| Volume | Issue | Pages | 19–26 | ||
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| Abstract | The availability of open, ground-truthed datasets and clear performance metrics is a crucial factor in the development of an application domain. The domain of colour text image analysis (real scenes, Web and spam images, scanned colour documents) has traditionally suffered from a lack of a comprehensive performance evaluation framework. Such a framework is extremely difficult to specify, and corresponding pixel-level accurate information tedious to define. In this paper we discuss the challenges and technical issues associated with developing such a framework. Then, we describe a complete framework for the evaluation of text extraction methods at multiple levels, provide a detailed ground-truth specification and present a case study on how this framework can be used in a real-life situation. | ||||
| Address | Boston; USA; | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-1-60558-773-8 | Medium | ||
| Area | Expedition | Conference | DAS | ||
| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ CKL2010 | Serial | 1432 | ||
| Permanent link to this record | |||||
| Author | Antonio Clavelli; Dimosthenis Karatzas | ||||
| Title | Text Segmentation in Colour Posters from the Spanish Civil War Era | Type | Conference Article | ||
| Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 181 - 185 | ||
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| Abstract | The extraction of textual content from colour documents of a graphical nature is a complicated task. The text can be rendered in any colour, size and orientation while the existence of complex background graphics with repetitive patterns can make its localization and segmentation extremely difficult.
Here, we propose a new method for extracting textual content from such colour images that makes no assumption as to the size of the characters, their orientation or colour, while it is tolerant to characters that do not follow a straight baseline. We evaluate this method on a collection of documents with historical connotations: the Posters from the Spanish Civil War. |
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| Address | Barcelona, Spain | ||||
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| Series Volume | Series Issue | Edition | |||
| ISSN | 1520-5363 | ISBN | 978-1-4244-4500-4 | Medium | |
| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ ClK2009 | Serial | 1172 | ||
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| Author | S. Chanda; Oriol Ramos Terrades; Umapada Pal | ||||
| Title | SVM Based Scheme for Thai and English Script Identification | Type | Conference Article | ||
| Year | 2007 | Publication | 9th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | 551–555 | |
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| Address | Curitiba (Brazil) | ||||
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ CRP2007a | Serial | 885 | ||
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| Author | Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; A. Rodriguez | ||||
| Title | Biometric Recognition Based on Line Shape Descriptors | Type | Conference Article | ||
| Year | 2005 | Publication | Sixth IAPR International Workshop on Graphics Recognition (GREC 2005) | Abbreviated Journal | |
| Volume | Issue | Pages | 335–344 | ||
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| Address | Hong Kong (China) | ||||
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| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ CSL2005 | Serial | 596 | ||
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| Author | Anton Cervantes; Gemma Sanchez; Josep Llados; Agnes Borras; Ana Rodriguez | ||||
| Title | Biometric Recognition Based on Line Shape Descriptors | Type | Book Chapter | ||
| Year | 2006 | Publication | Lecture Notes in Computer Science | Abbreviated Journal | |
| Volume | 3926 | Issue | Pages | 346–357, | |
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| Abstract | Abstract. In this paper we propose biometric descriptors inspired by shape signatures traditionally used in graphics recognition approaches. In particular several methods based on line shape descriptors used to iden- tify newborns from the biometric information of the ears are developed. The process steps are the following: image acquisition, ear segmentation, ear normalization, feature extraction and identification. Several shape signatures are defined from contour images. These are formulated in terms of zoning and contour crossings descriptors. Experimental results are presented to demonstrate the effectiveness of the used techniques. | ||||
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| Publisher | Springer Link | Place of Publication | Editor | ||
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| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ CSL2006 | Serial | 685 | ||
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| Author | Philippe Dosch; Josep Llados | ||||
| Title | Vectorial Signatures for Symbol Discrimination | Type | Miscellaneous | ||
| Year | 2003 | Publication | Proceedings of Fifth IAPR International Workshop on Graphics Recognition, 159–169 | Abbreviated Journal | |
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| Address | Barcelona | ||||
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| Notes | DAG | Approved | no | ||
| Call Number |
DAG @ dag @ DoL2003 | Serial | 373 | ||
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