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Ernest Valveny; Philippe Dosch |
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Title |
Symbol Recognition Contest: A Synthesis |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:368–386, ISBN: 3–540–22478–5 |
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DAG |
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DAG @ dag @ VaD2004b |
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501 |
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Ernest Valveny; Robert Benavente; Agata Lapedriza; Miquel Ferrer; Jaume Garcia; Gemma Sanchez |
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Title |
Adaptation of a computer programming course to the EXHE requirements: evaluation five years later |
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2012 |
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European Journal of Engineering Education |
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37 |
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3 |
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243-254 |
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DAG; CIC; OR; invisible;MV |
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no |
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Admin @ si @ VBL2012 |
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2070 |
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Author |
Estefania Talavera; Andreea Glavan; Alina Matei; Petia Radeva |
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Title |
Eating Habits Discovery in Egocentric Photo-streams |
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2020 |
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Arxiv |
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CoRR abs/2009.07646
Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits from egocentric photo-streams. We build a food-related behavioural pattern discovery model, which discloses nutritional routines from the activities performed throughout the days. To do so, we rely on Dynamic-Time-Warping for the evaluation of similarity among the collected days. Within this framework, we present a simple, but robust and fast novel classification pipeline that outperforms the state-of-the-art on food-related image classification with a weighted accuracy and F-score of 70% and 63%, respectively. Later, we identify days composed of nutritional activities that do not describe the habits of the person as anomalies in the daily life of the user with the Isolation Forest method. Furthermore, we show an application for the identification of food-related scenes when the camera wearer eats in isolation. Results have shown the good performance of the proposed model and its relevance to visualize the nutritional habits of individuals. |
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MILAB |
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Admin @ si @ TGM2020 |
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3536 |
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Estefania Talavera; Nicolai Petkov; Petia Radeva |
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Title |
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos |
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2019 |
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Arxiv |
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CoRR abs/1905.04093
Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing and summarizing these data is drastically increasing. We present a new method for familiar scene recognition in egocentric videos, based on background pattern detection through automatically configurable COSFIRE filters. We present some experiments over egocentric data acquired with the Narrative Clip. |
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MILAB; no menciona |
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no |
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Admin @ si @ TPR2019b |
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3379 |
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Estefania Talavera; Petia Radeva; Nicolai Petkov |
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Title |
Towards Emotion Retrieval in Egocentric PhotoStream |
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2019 |
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Arxiv |
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CoRR abs/1905.04107
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer's days, we propose a method that aims to assign sentiment to events extracted from egocentric photostreams. Such moments can be candidates to retrieve according to their possibility of representing a positive experience for the camera's wearer. The proposed approach obtained a classification accuracy of 75% on the test set, with a deviation of 8%. Our model makes a step forward opening the door to sentiment recognition in egocentric photostreams. |
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MILAB; no proj |
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no |
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Admin @ si @ TRP2019 |
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3381 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
SFM for Planar Scenes: a Direct and Robust Approach |
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2005 |
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International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005) |
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Barcelona (Spain) |
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ADAS |
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no |
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ADAS @ adas @ DoS2005a |
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559 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Appearance-based 3D Face Tracker: An Evaluation Study |
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2005 |
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2nd IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 121–128 |
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Beijing (China) |
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ADAS |
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no |
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ADAS @ adas @ DoS2005b |
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580 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data |
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2006 |
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International Conference on Computer Vision Theory and Applications, (2): 310–317 |
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ADAS |
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no |
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ADAS @ adas @ DoS2006a |
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636 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme |
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2006 |
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International Conference on Advanced Video and Signal Based Surveillance, (AVSS 2006), ISBN: 0–7695–2688–8 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ DoR2006 |
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799 |
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Fadi Dornaika; Franck Davoine |
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Simultaneous Facial Action Tracking and Expression Recognition using a Particle Filter |
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2005 |
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10th IEEE Int. Conference on Computer Vision (ICCV) |
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Admin @ si @ DoD2005d |
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581 |
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Fadi Dornaika; Franck Davoine |
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Facial expression recognition in continuous videos using dynamic programming |
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2005 |
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IEEE Int. Conference on Image Processing |
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Genova (Italy) |
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Admin @ si @ DoD2005a |
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597 |
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Fadi Dornaika; Franck Davoine |
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SFM for planar scenes using image derivatives |
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2005 |
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IEEE Int. Conference on Image Processing, 1088–1091 |
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Admin @ si @ DoD2005b |
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598 |
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Fadi Dornaika; Franck Davoine |
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Facial expression recognition using auto-regressive models |
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2006 |
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18th International Conference on Pattern Recognition (ICPR´06), ISBN: 0–7695–2521–0, 4: 520–523 |
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Hong Kong |
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Admin @ si @ DoD2006a |
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734 |
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Author |
Felipe Lumbreras; Joan Serrat; Ramon Baldrich; Maria Vanrell; Juan J. Villanueva |
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Color Texture Recognition Through Multiresolution Features |
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2001 |
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QCAV 2001 International Conference on Quality Control by Artificial Vision, France, 1:114–121. |
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ADAS;CIC |
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ADAS @ adas @ LSB2001 |
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124 |
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Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva |
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Multiresolution colour texture representations for tile classification |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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ADAS;CIC |
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ADAS @ adas @ LBV1999a |
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3 |
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