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Author ![]() |
Maria del Camp Davesa | ||||
Title | Human action categorization in image sequences | Type | Report | ||
Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 169 | Issue | Pages | ||
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Address | Bellaterra (Spain) | ||||
Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | CiC;CIC | Approved | no | ||
Call Number | Admin @ si @ Dav2011 | Serial | 1934 | ||
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Author ![]() |
Maria Elena Meza-de-Luna; Juan Ramon Terven Salinas; Bogdan Raducanu; Joaquin Salas | ||||
Title | Assessing the Influence of Mirroring on the Perception of Professional Competence using Wearable Technology | Type | Journal Article | ||
Year | 2016 | Publication | IEEE Transactions on Affective Computing | Abbreviated Journal | TAC |
Volume | 9 | Issue | 2 | Pages | 161-175 |
Keywords | Mirroring; Nodding; Competence; Perception; Wearable Technology | ||||
Abstract | Nonverbal communication is an intrinsic part in daily face-to-face meetings. A frequently observed behavior during social interactions is mirroring, in which one person tends to mimic the attitude of the counterpart. This paper shows that a computer vision system could be used to predict the perception of competence in dyadic interactions through the automatic detection of mirroring
events. To prove our hypothesis, we developed: (1) A social assistant for mirroring detection, using a wearable device which includes a video camera and (2) an automatic classifier for the perception of competence, using the number of nodding gestures and mirroring events as predictors. For our study, we used a mixed-method approach in an experimental design where 48 participants acting as customers interacted with a confederated psychologist. We found that the number of nods or mirroring events has a significant influence on the perception of competence. Our results suggest that: (1) Customer mirroring is a better predictor than psychologist mirroring; (2) the number of psychologist’s nods is a better predictor than the number of customer’s nods; (3) except for the psychologist mirroring, the computer vision algorithm we used worked about equally well whether it was acquiring images from wearable smartglasses or fixed cameras. |
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | LAMP; 600.072; | Approved | no | ||
Call Number | Admin @ si @ MTR2016 | Serial | 2826 | ||
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Author ![]() |
Maria Elena Meza-de-Luna; Juan Ramon Terven Salinas; Bogdan Raducanu; Joaquin Salas | ||||
Title | A Social-Aware Assistant to support individuals with visual impairments during social interaction: A systematic requirements analysis | Type | Journal Article | ||
Year | 2019 | Publication | International Journal of Human-Computer Studies | Abbreviated Journal | IJHC |
Volume | 122 | Issue | Pages | 50-60 | |
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Abstract | Visual impairment affects the normal course of activities in everyday life including mobility, education, employment, and social interaction. Most of the existing technical solutions devoted to empowering the visually impaired people are in the areas of navigation (obstacle avoidance), access to printed information and object recognition. Less effort has been dedicated so far in developing solutions to support social interactions. In this paper, we introduce a Social-Aware Assistant (SAA) that provides visually impaired people with cues to enhance their face-to-face conversations. The system consists of a perceptive component (represented by smartglasses with an embedded video camera) and a feedback component (represented by a haptic belt). When the vision system detects a head nodding, the belt vibrates, thus suggesting the user to replicate (mirror) the gesture. In our experiments, sighted persons interacted with blind people wearing the SAA. We instructed the former to mirror the noddings according to the vibratory signal, while the latter interacted naturally. After the face-to-face conversation, the participants had an interview to express their experience regarding the use of this new technological assistant. With the data collected during the experiment, we have assessed quantitatively and qualitatively the device usefulness and user satisfaction. | ||||
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Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | |||
Notes | LAMP; 600.109; 600.120 | Approved | no | ||
Call Number | Admin @ si @ MTR2019 | Serial | 3142 | ||
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Author ![]() |
Maria Ines Torres; Javier Mikel Olaso; Cesar Montenegro; Riberto Santana; A.Vazquez; Raquel Justo; J.A.Lozano; Stephan Schogl; Gerard Chollet; Nazim Dugan; M.Irvine; N.Glackin; C.Pickard; Anna Esposito; Gennaro Cordasco; Alda Troncone; Dijana Petrovska Delacretaz; Aymen Mtibaa; Mohamed Amine Hmani; M.S.Korsnes; L.J.Martinussen; Sergio Escalera; C.Palmero Cantariño; Olivier Deroo; O.Gordeeva; Jofre Tenorio Laranga; E.Gonzalez Fraile; Begoña Fernandez Ruanova; A.Gonzalez Pinto | ||||
Title | The EMPATHIC project: mid-term achievements | Type | Conference Article | ||
Year | 2019 | Publication | 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments | Abbreviated Journal | |
Volume | Issue | Pages | 629-638 | ||
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Abstract | Maria Ines Torres; Javier Mikel Olaso, César Montenegro, Riberto Santana, A. Vázquez, Raquel Justo, J. A. Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, N. Glackin, C. Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, M. S. Korsnes, L. J. Martinussen, Sergio Escalera, C. Palmero Cantariño, Olivier Deroo, O. Gordeeva, Jofre Tenorio-Laranga, E. Gonzalez-Fraile, Begoña Fernández-Ruanova, A. Gonzalez-Pinto | ||||
Address | Rhodes Greece; June 2019 | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | PETRA | ||
Notes | HUPBA; no proj | Approved | no | ||
Call Number | Admin @ si @ TOM2019 | Serial | 3325 | ||
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Author ![]() |
Maria Oliver; G. Haro; Mariella Dimiccoli; B. Mazin; C. Ballester | ||||
Title | A Computational Model for Amodal Completion | Type | Journal Article | ||
Year | 2016 | Publication | Journal of Mathematical Imaging and Vision | Abbreviated Journal | JMIV |
Volume | 56 | Issue | 3 | Pages | 511–534 |
Keywords | Perception; visual completion; disocclusion; Bayesian model;relatability; Euler elastica | ||||
Abstract | This paper presents a computational model to recover the most likely interpretation
of the 3D scene structure from a planar image, where some objects may occlude others. The estimated scene interpretation is obtained by integrating some global and local cues and provides both the complete disoccluded objects that form the scene and their ordering according to depth. Our method first computes several distal scenes which are compatible with the proximal planar image. To compute these different hypothesized scenes, we propose a perceptually inspired object disocclusion method, which works by minimizing the Euler's elastica as well as by incorporating the relatability of partially occluded contours and the convexity of the disoccluded objects. Then, to estimate the preferred scene we rely on a Bayesian model and define probabilities taking into account the global complexity of the objects in the hypothesized scenes as well as the effort of bringing these objects in their relative position in the planar image, which is also measured by an Euler's elastica-based quantity. The model is illustrated with numerical experiments on, both, synthetic and real images showing the ability of our model to reconstruct the occluded objects and the preferred perceptual order among them. We also present results on images of the Berkeley dataset with provided figure-ground ground-truth labeling. |
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Area | Expedition | Conference | |||
Notes | MILAB; 601.235 | Approved | no | ||
Call Number | Admin @ si @ OHD2016b | Serial | 2745 | ||
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Author ![]() |
Maria Oliver; Gloria Haro; Mariella Dimiccoli; Baptiste Mazin; Coloma Ballester | ||||
Title | A computational model of amodal completion | Type | Conference Article | ||
Year | 2016 | Publication | SIAM Conference on Imaging Science | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | This paper presents a computational model to recover the most likely interpretation of the 3D scene structure from a planar image, where some objects may occlude others. The estimated scene interpretation is obtained by integrating some global and local cues and provides both the complete disoccluded objects that form the scene and their ordering according to depth. Our method first computes several distal scenes which are compatible with the proximal planar image. To compute these different hypothesized scenes, we propose a perceptually inspired object disocclusion method, which works by minimizing the Euler's elastica as well as by incorporating the relatability of partially occluded contours and the convexity of the disoccluded objects. Then, to estimate the preferred scene we rely on a Bayesian model and define probabilities taking into account the global complexity of the objects in the hypothesized scenes as well as the effort of bringing these objects in their relative position in the planar image, which is also measured by an Euler's elastica-based quantity. The model is illustrated with numerical experiments on, both, synthetic and real images showing the ability of our model to reconstruct the occluded objects and the preferred perceptual order among them. We also present results on images of the Berkeley dataset with provided figure-ground ground-truth labeling. | ||||
Address | Albuquerque; New Mexico; USA; May 2016 | ||||
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 | Medium | |||
Area | Expedition | Conference | IS | ||
Notes | MILAB; 601.235 | Approved | no | ||
Call Number | Admin @ si @OHD2016a | Serial | 2788 | ||
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Author ![]() |
Maria Salamo; Inmaculada Rodriguez; Maite Lopez; Anna Puig; Simone Balocco; Mariona Taule | ||||
Title | Recurso docente para la atención de la diversidad en el aula mediante la predicción de notas | Type | Journal | ||
Year | 2016 | Publication | ReVision | Abbreviated Journal | |
Volume | 9 | Issue | 1 | Pages | |
Keywords | Aprendizaje automatico; Sistema de prediccion de notas; Herramienta docente | ||||
Abstract | Desde la implantación del Espacio Europeo de Educación Superior (EEES) en los diferentes grados, se ha puesto de manifiesto la necesidad de utilizar diversos mecanismos que permitan tratar la diversidad en el aula, evaluando automáticamente y proporcionando una retroalimentación rápida tanto al alumnado como al profesorado sobre la evolución de los alumnos en una asignatura. En este artículo se presenta la evaluación de la exactitud en las predicciones de GRADEFORESEER, un recurso docente para la predicción de notas basado en técnicas de aprendizaje automático que permite evaluar la evolución del alumnado y estimar su nota final al terminar el curso. Este recurso se ha complementado con una interfaz de usuario para el profesorado que puede ser usada en diferentes plataformas software (sistemas operativos) y en cualquier asignatura de un grado en la que se utilice evaluación continuada. Además de la descripción del recurso, este artículo presenta los resultados obtenidos al aplicar el sistema de predicción en cuatro asignaturas de disciplinas distintas: Programación I (PI), Diseño de Software (DSW) del grado de Ingeniería Informática, Tecnologías de la Información y la Comunicación (TIC) del grado de Lingüística y la asignatura Fundamentos de Tecnología (FDT) del grado de Información y Documentación, todas ellas impartidas en la Universidad de Barcelona.
La capacidad predictiva se ha evaluado de forma binaria (aprueba o no) y según un criterio de rango (suspenso, aprobado, notable o sobresaliente), obteniendo mejores predicciones en los resultados evaluados de forma binaria. |
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Area | Expedition | Conference | |||
Notes | MILAB; | Approved | no | ||
Call Number | Admin @ si @ SRL2016 | Serial | 2820 | ||
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Author ![]() |
Maria Salamo; Sergio Escalera | ||||
Title | Increasing Retrieval Quality in Conversational Recommenders | Type | Journal Article | ||
Year | 2011 | Publication | IEEE Transactions on Knowledge and Data Engineering | Abbreviated Journal | TKDE |
Volume | 99 | Issue | Pages | 1-1 | |
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Abstract | IF JCR CCIA 2.286 2009 24/103
JCR Impact Factor 2010: 1.851 A major task of research in conversational recommender systems is personalization. Critiquing is a common and powerful form of feedback, where a user can express her feature preferences by applying a series of directional critiques over the recommendations instead of providing specific preference values. Incremental Critiquing is a conversational recommender system that uses critiquing as a feedback to efficiently personalize products. The expectation is that in each cycle the system retrieves the products that best satisfy the user’s soft product preferences from a minimal information input. In this paper, we present a novel technique that increases retrieval quality based on a combination of compatibility and similarity scores. Under the hypothesis that a user learns Turing the recommendation process, we propose two novel exponential reinforcement learning approaches for compatibility that take into account both the instant at which the user makes a critique and the number of satisfied critiques. Moreover, we consider that the impact of features on the similarity differs according to the preferences manifested by the user. We propose a global weighting approach that uses a common weight for nearest cases in order to focus on groups of relevant products. We show that our methodology significantly improves recommendation efficiency in four data sets of different sizes in terms of session length in comparison with state-of-the-art approaches. Moreover, our recommender shows higher robustness against noisy user data when compared to classical approaches |
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Publisher | IEEE | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | 1041-4347 | ISBN | Medium | ||
Area | Expedition | Conference | |||
Notes | MILAB; HuPBA | Approved | no | ||
Call Number | Admin @ si @ SaE2011 | Serial | 1713 | ||
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Author ![]() |
Maria Salamo; Sergio Escalera; Petia Radeva | ||||
Title | Quality Enhancement based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender | Type | Conference Article | ||
Year | 2009 | Publication | 8th International Conference on Case-Based Reasoning | Abbreviated Journal | |
Volume | 5650 | Issue | Pages | 298–312 | |
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Abstract | Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help users to navigate through product spaces, alternatively making product suggestions and eliciting users feedback. Critiquing is a common form of feedback and incremental critiquing-based recommender system has shown its efficiency to personalize products based primarily on a quality measure. This quality measure influences the recommendation process and it is obtained by the combination of compatibility and similarity scores. In this paper, we describe new compatibility strategies whose basis is on reinforcement learning and a new feature weighting technique which is based on the user’s history of critiques. Moreover, we show that our methodology can significantly improve recommendation efficiency in comparison with the state-of-the-art approaches. | ||||
Address | Seattle, USA | ||||
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 | 978-3-642-02998-1 | Medium | |
Area | Expedition | Conference | ICCBR | ||
Notes | HuPBA; MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ SER2009 | Serial | 1187 | ||
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Author ![]() |
Maria Vanrell | ||||
Title | Exploring the space of behaviour of a texture perception algorithm | Type | Report | ||
Year | 1997 | Publication | CVC Technical Report #12 | Abbreviated Journal | |
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Address | CVC (UAB) | ||||
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Notes | CIC | Approved | no | ||
Call Number | CAT @ cat @ Van1997 | Serial | 523 | ||
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Author ![]() |
Maria Vanrell; Felipe Lumbreras; A. Pujol; Ramon Baldrich; Josep Llados; Juan J. Villanueva | ||||
Title | Colour Normalisation Based on Background Information. | Type | Miscellaneous | ||
Year | 2001 | Publication | Proceeding ICIP 2001, IEEE International Conference on Image Processing | Abbreviated Journal | ICIP 2001 |
Volume | Issue | 1 | Pages | 874–877 | |
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Address | Grecia. | ||||
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Notes | ADAS;DAG;CIC | Approved | no | ||
Call Number | ADAS @ adas @ VLP2001 | Serial | 167 | ||
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Author ![]() |
Maria Vanrell; Jordi Vitria | ||||
Title | Mathematical Morphology, Granulometries and Texture Perception. | Type | Miscellaneous | ||
Year | 1993 | Publication | SPIE International Symposium on Optical Instrumentation and Applied Science (Conference on image Algebra and Morphological image Processing IV). | Abbreviated Journal | |
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Address | San Diego; CA; USA | ||||
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Notes | OR;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VaV1993 | Serial | 178 | ||
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Author ![]() |
Maria Vanrell; Jordi Vitria | ||||
Title | Optimal 3x3 decomposable disks for morphological transformations | Type | Journal | ||
Year | 1997 | Publication | Image and Vision Computing, 15(2): 845–854 | Abbreviated Journal | |
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Notes | OR;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VaV1997c | Serial | 543 | ||
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Author ![]() |
Maria Vanrell; Jordi Vitria; Xavier Roca | ||||
Title | A multidimensional scaling approach to explore the behavior of a texture perception algorithm. | Type | Journal Article | ||
Year | 1997 | Publication | Machine Vision and Applications | Abbreviated Journal | |
Volume | 9 | Issue | Pages | 262–271 | |
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Notes | OR;ISE;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VVR1997 | Serial | 35 | ||
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Author ![]() |
Maria Vanrell; Jordi Vitria; Xavier Roca | ||||
Title | A General Morphological Framework for Perceptual Texture Discrimination based on Granulometries. | Type | Miscellaneous | ||
Year | 1993 | Publication | Technical Workshop on Mathematical Morphology and its Applications to Signal Processing. | Abbreviated Journal | |
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Address | Barcelona | ||||
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Area | Expedition | Conference | |||
Notes | OR;ISE;CIC;MV | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ VVR1993 | Serial | 154 | ||
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