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| Records | |||||
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| Author | Marco Pedersoli | ||||
| Title | A Multiresolution Cascade for Human Detection | Type | Miscellaneous | ||
| Year | 2008 | Publication | CVC Technical Report #126 | Abbreviated Journal | |
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| Address | Barcelona, Spain | ||||
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| Notes | ISE | Approved | no | ||
| Call Number | Admin @ si @ Ped2008 | Serial | 1148 | ||
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| Author | Bhaskar Chakraborty | ||||
| Title | View-Invariant Human-Body Detection with Extension to Human Action Recognition using Component Wise HMM of Body Parts | Type | Miscellaneous | ||
| Year | 2008 | Publication | CVC Technical Report #123 | Abbreviated Journal | |
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| Address | Barcelona, Spain | ||||
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| Notes | ISE | Approved | no | ||
| Call Number | Admin @ si @ Cha2008 | Serial | 1149 | ||
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| Author | Pierluigi Casale | ||||
| Title | Social Environment Description from Data Collected with a Wearable Device | Type | Miscellaneous | ||
| Year | 2008 | Publication | CVC Technical Report #124 | Abbreviated Journal | |
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| Address | Barcelona, Spain | ||||
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| Notes | Approved | no | |||
| Call Number | Admin @ si @ Cas2008 | Serial | 1151 | ||
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| Author | Bogdan Raducanu; Jordi Vitria; D. Gatica-Perez | ||||
| Title | You are Fired! Nonverbal Role Analysis in Competitive Meetings | Type | Conference Article | ||
| Year | 2009 | Publication | IEEE International Conference on Audio, Speech and Signal Processing | Abbreviated Journal | |
| Volume |
Issue | Pages | 1949–1952 | ||
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| Abstract | This paper addresses the problem of social interaction analysis in competitive meetings, using nonverbal cues. For our study, we made use of ldquoThe Apprenticerdquo reality TV show, which features a competition for a real, highly paid corporate job. Our analysis is centered around two tasks regarding a person's role in a meeting: predicting the person with the highest status and predicting the fired candidates. The current study was carried out using nonverbal audio cues. Results obtained from the analysis of a full season of the show, representing around 90 minutes of audio data, are very promising (up to 85.7% of accuracy in the first case and up to 92.8% in the second case). Our approach is based only on the nonverbal interaction dynamics during the meeting without relying on the spoken words. | ||||
| Address | Taipei, Taiwan | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1520-6149 | ISBN | 978-1-4244-2353-8 | Medium | |
| Area | Expedition | Conference | ICASSP | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RVG2009 | Serial | 1154 | ||
| Permanent link to this record | |||||
| Author | Jose Manuel Alvarez; Theo Gevers; Antonio Lopez | ||||
| Title | Learning Photometric Invariance from Diversified Color Model Ensembles | Type | Conference Article | ||
| Year | 2009 | Publication | 22nd IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
| Volume |
Issue | Pages | 565–572 | ||
| Keywords | road detection | ||||
| Abstract | Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions affecting negatively the performance of the task at hand. Often, a reflection model (e.g., Lambertian or dichromatic reflectance) is used to derive color invariant models. However, those reflection models might be too restricted to model real-world scenes in which different reflectance mechanisms may hold simultaneously. Therefore, in this paper, we aim to derive color invariance by learning from color models to obtain diversified color invariant ensembles. First, a photometrical orthogonal and non-redundant color model set is taken on input composed of both color variants and invariants. Then, the proposed method combines and weights these color models to arrive at a diversified color ensemble yielding a proper balance between invariance (repeatability) and discriminative power (distinctiveness). To achieve this, the fusion method uses a multi-view approach to minimize the estimation error. In this way, the method is robust to data uncertainty and produces properly diversified color invariant ensembles. Experiments are conducted on three different image datasets to validate the method. From the theoretical and experimental results, it is concluded that the method is robust against severe variations in imaging conditions. The method is not restricted to a certain reflection model or parameter tuning. Further, the method outperforms state-of- the-art detection techniques in the field of object, skin and road recognition. | ||||
| Address | Miami (USA) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1063-6919 | ISBN | 978-1-4244-3992-8 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | ADAS;ISE | Approved | no | ||
| Call Number | ADAS @ adas @ AGL2009 | Serial | 1169 | ||
| 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 | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| 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 | ||
| Permanent link to this record | |||||
| Author | Albert Gordo; Ernest Valveny | ||||
| Title | A rotation invariant page layout descriptor for document classification and retrieval | Type | Conference Article | ||
| Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume |
Issue | Pages | 481–485 | ||
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| Abstract | Document classification usually requires of structural features such as the physical layout to obtain good accuracy rates on complex documents. This paper introduces a descriptor of the layout and a distance measure based on the cyclic dynamic time warping which can be computed in O(n2). This descriptor is translation invariant and can be easily modified to be scale and rotation invariant. Experiments with this descriptor and its rotation invariant modification are performed on the Girona archives database and compared against another common layout distance, the minimum weight edge cover. The experiments show that these methods outperform the MWEC both in accuracy and speed, particularly on rotated documents. | ||||
| Address | Barcelona, Spain | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| 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 @ GoV2009a | Serial | 1175 | ||
| Permanent link to this record | |||||
| Author | Marçal Rusiñol; Josep Llados | ||||
| Title | Logo Spotting by a Bag-of-words Approach for Document Categorization | Type | Conference Article | ||
| Year | 2009 | Publication | 10th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume |
Issue | Pages | 111–115 | ||
| Keywords | |||||
| Abstract | In this paper we present a method for document categorization which processes incoming document images such as invoices or receipts. The categorization of these document images is done in terms of the presence of a certain graphical logo detected without segmentation. The graphical logos are described by a set of local features and the categorization of the documents is performed by the use of a bag-of-words model. Spatial coherence rules are added to reinforce the correct category hypothesis, aiming also to spot the logo inside the document image. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented. | ||||
| Address | Barcelona; Spain | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| 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 @ RuL2009b | Serial | 1179 | ||
| Permanent link to this record | |||||
| Author | Sergio Escalera; Alicia Fornes; Oriol Pujol; Alberto Escudero; Petia Radeva | ||||
| Title | Circular Blurred Shape Model for Symbol Spotting in Documents | Type | Conference Article | ||
| Year | 2009 | Publication | 16th IEEE International Conference on Image Processing | Abbreviated Journal | |
| Volume |
Issue | Pages | 1985-1988 | ||
| Keywords | |||||
| Abstract | Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. In the case of document analysis, symbol spotting techniques have to deal with a high variability of symbols' appearance. In this paper, we propose the Circular Blurred Shape Model descriptor. Feature extraction is performed capturing the spatial arrangement of significant object characteristics in a correlogram structure. Shape information from objects is shared among correlogram regions, being tolerant to the irregular deformations. Descriptors are learnt using a cascade of classifiers and Abadoost as the base classifier. Finally, symbol spotting is performed by means of a windowing strategy using the learnt cascade over plan and old musical score documents. Spotting and multi-class categorization results show better performance comparing with the state-of-the-art descriptors. | ||||
| Address | Cairo, Egypt | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-1-4244-5653-6 | Medium | ||
| Area | Expedition | Conference | ICIP | ||
| Notes | MILAB;HuPBA;DAG | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ EFP2009b | Serial | 1184 | ||
| Permanent link to this record | |||||
| Author | Sergio Escalera; Eloi Puertas; Petia Radeva; Oriol Pujol | ||||
| Title | Multimodal laughter recognition in video conversations | Type | Conference Article | ||
| Year | 2009 | Publication | 2nd IEEE Workshop on CVPR for Human communicative Behavior analysis | Abbreviated Journal | |
| Volume |
Issue | Pages | 110–115 | ||
| Keywords | |||||
| Abstract | Laughter detection is an important area of interest in the Affective Computing and Human-computer Interaction fields. In this paper, we propose a multi-modal methodology based on the fusion of audio and visual cues to deal with the laughter recognition problem in face-to-face conversations. The audio features are extracted from the spectogram and the video features are obtained estimating the mouth movement degree and using a smile and laughter classifier. Finally, the multi-modal cues are included in a sequential classifier. Results over videos from the public discussion blog of the New York Times show that both types of features perform better when considered together by the classifier. Moreover, the sequential methodology shows to significantly outperform the results obtained by an Adaboost classifier. | ||||
| Address | Miami (USA) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2160-7508 | ISBN | 978-1-4244-3994-2 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | MILAB;HuPBA | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ EPR2009c | Serial | 1188 | ||
| Permanent link to this record | |||||
| Author | Xavier Baro; Sergio Escalera; Petia Radeva; Jordi Vitria | ||||
| Title | Visual Content Layer for Scalable Recognition in Urban Image Databases, Internet Multimedia Search and Mining | Type | Conference Article | ||
| Year | 2009 | Publication | 10th IEEE International Conference on Multimedia and Expo | Abbreviated Journal | |
| Volume |
Issue | Pages | 1616–1619 | ||
| Keywords | |||||
| Abstract | Rich online map interaction represents a useful tool to get multimedia information related to physical places. With this type of systems, users can automatically compute the optimal route for a trip or to look for entertainment places or hotels near their actual position. Standard maps are defined as a fusion of layers, where each one contains specific data such height, streets, or a particular business location. In this paper we propose the construction of a visual content layer which describes the visual appearance of geographic locations in a city. We captured, by means of a Mobile Mapping system, a huge set of georeferenced images (> 500K) which cover the whole city of Barcelona. For each image, hundreds of region descriptions are computed off-line and described as a hash code. This allows an efficient and scalable way of accessing maps by visual content. | ||||
| Address | New York (USA) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-1-4244-4291-1 | Medium | ||
| Area | Expedition | Conference | ICME | ||
| Notes | OR;MILAB;HuPBA;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ BER2009 | Serial | 1189 | ||
| Permanent link to this record | |||||
| Author | Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell | ||||
| Title | Top-Down Color Attention for Object Recognition | Type | Conference Article | ||
| Year | 2009 | Publication | 12th International Conference on Computer Vision | Abbreviated Journal | |
| Volume |
Issue | Pages | 979 - 986 | ||
| Keywords | |||||
| Abstract | Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. | ||||
| Address | Kyoto, Japan | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1550-5499 | ISBN | 978-1-4244-4420-5 | Medium | |
| Area | Expedition | Conference | ICCV | ||
| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ SWV2009 | Serial | 1196 | ||
| Permanent link to this record | |||||
| Author | Arjan Gijsenij; Theo Gevers; Joost Van de Weijer | ||||
| Title | Physics-based Edge Evaluation for Improved Color Constancy | Type | Conference Article | ||
| Year | 2009 | Publication | 22nd IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
| Volume |
Issue | Pages | 581 – 588 | ||
| Keywords | |||||
| Abstract | Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation. | ||||
| Address | Miami, USA | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1063-6919 | ISBN | 978-1-4244-3992-8 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | CAT;ISE | Approved | no | ||
| Call Number | CAT @ cat @ GGW2009 | Serial | 1197 | ||
| Permanent link to this record | |||||
| Author | Jose Manuel Alvarez; Ferran Diego; Joan Serrat; Antonio Lopez | ||||
| Title | Automatic Ground-truthing using video registration for on-board detection algorithms | Type | Conference Article | ||
| Year | 2009 | Publication | 16th IEEE International Conference on Image Processing | Abbreviated Journal | |
| Volume |
Issue | Pages | 4389 - 4392 | ||
| Keywords | |||||
| Abstract | Ground-truth data is essential for the objective evaluation of object detection methods in computer vision. Many works claim their method is robust but they support it with experiments which are not quantitatively assessed with regard some ground-truth. This is one of the main obstacles to properly evaluate and compare such methods. One of the main reasons is that creating an extensive and representative ground-truth is very time consuming, specially in the case of video sequences, where thousands of frames have to be labelled. Could such a ground-truth be generated, at least in part, automatically? Though it may seem a contradictory question, we show that this is possible for the case of video sequences recorded from a moving camera. The key idea is transferring existing frame segmentations from a reference sequence into another video sequence recorded at a different time on the same track, possibly under a different ambient lighting. We have carried out experiments on several video sequence pairs and quantitatively assessed the precision of the transformed ground-truth, which prove that our approach is not only feasible but also quite accurate. | ||||
| Address | Cairo, Egypt | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1522-4880 | ISBN | 978-1-4244-5653-6 | Medium | |
| Area | Expedition | Conference | ICIP | ||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ ADS2009 | Serial | 1201 | ||
| Permanent link to this record | |||||
| Author | Enric Marti; Jaume Rocarias; Ricardo Toledo; Aura Hernandez-Sabate | ||||
| Title | Caronte: plataforma Moodle con gestion flexible de grupos. Primeras experiencias en asignaturas de Ingenieria Informatica | Type | Miscellaneous | ||
| Year | 2009 | Publication | 15th Jornadas de Enseñanza Universitaria de la Informatica | Abbreviated Journal | |
| Volume |
Issue | Pages | 461–468 | ||
| Keywords | |||||
| Abstract | En este artículo se presenta Caronte, entorno LMS (Learning Management System) basado en Moodle. Una característica importante del entorno es la gestión flexible de grupos en una asignatura. Entendemos por grupo un conjunto de alumnos que realizan un trabajo y uno de ellos entrega la actividad propuesta (práctica, encuesta, etc.) en representación del grupo. Hemos trabajado en la confección de estos grupos, implementando un sistema de inscripción por contraseña.
Caronte ofrece un conjunto de actividades basadas en este concepto de grupo: encuestas, tareas (entrega de trabajos o prácticas), encuestas de autoevaluación y cuestionarios, entre otras. Basada en nuestra actividad de encuesta, hemos definido una actividad de Control, que permite un cierto feedback electrónico del profesor sobre la actividad de los alumnos. Finalmente, se presenta un resumen de las experiencias de uso de Caronte sobre asignaturas de Ingeniería Informática en el curso 2007-08. |
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| Address | Barcelona, Spain | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | 978-84-692-2758-9 | Medium | ||
| Area | Expedition | Conference | JENUI | ||
| Notes | IAM;RV;ADAS | Approved | no | ||
| Call Number | IAM @ iam @ MRT2009 | Serial | 1202 | ||
| Permanent link to this record | |||||