Results overview: Found 17 records in 0.02 seconds.
Articles, 16 records found
Research literature, 1 records found
Articles 16 records found  1 - 10next  jump to record:
1.
13 p, 6.4 MB Robust computer vision system for marbling meat segmentation / Campos, Gabriel Fillipe Centini (Universidade Estadual de Londrina. Department of Computer Science) ; Seixas Jr., José Luis (Eötvös Loránd University (Budapest, Hongria). Department of Data Science and Engineering) ; Barbon, Ana Paula A. C. (Universidade Estadual de Londrina. Department of Zootechnology) ; Felinto, Alan Salvany (Universidade Estadual de Londrina. Department of Computer Science) ; Bridi, Ana Maria (Universidade Estadual de Londrina. Department of Zootechnology) ; Barbon Jr., Sylvio (Universidade Estadual de Londrina. Department of Computer Science)
In this study, we developed a robust automatic computer vision system for marbling meat segmentation. Our approach can segment muscle fat in various marbled meat samples using images acquired with different quality devices in an uncontrolled environment, where there was external ambient light and artificial light; thus, professionals can apply this method without specialized knowledge in terms of sample treatments or equipment, as well as without disruption to normal procedures, thereby obtaining a robust solution. [...]
2020 - 10.5565/rev/elcvia.777
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 15-27 (Regular Issue)  
2.
4 p, 225.2 KB Video Processing for Remote Respiration Monitoring / Alinovi, Davide ; Raheli, Riccardo, dir.
Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. [...]
2017 - 10.5565/rev/elcvia.1124
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 9-12 (Special Issue on Recent PhD Thesis Dissemination (2017))  
3.
4 p, 165.6 KB Facial attributes recognition using computer vision to detect drowsiness and distraction in drivers / Fernández Villán, Alberto (TSK, Technological Scientific Park of Gijon) ; Usamentiaga Fernández, Rubén, dir. (Universidad de Oviedo. Departamento de Informática) ; Casado, Rubén, dir.
Driving is an activity that requires a high degree of concentration on the part of the person who performs it, since the slightest negligence is sufficient to provoke an accident with the consequent material and/or human losses. [...]
2017 - 10.5565/rev/elcvia.1134
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 25-28 (Special Issue on Recent PhD Thesis Dissemination (2017))  
4.
4 p, 515.1 KB Selection of relevant information to improve Image Classification using Bag of Visual Words / Fidalgo Fernández, Eduardo ; Alegre Gutiérrez, Enrique, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática) ; González Castro, Victor, dir. (Universidad de León. Departamento de Ingeniería Eléctrica y de Sistemas y Automática)
One of the main challenges in computer vision is image classification. Nowadays the number of images increases exponentially every day; therefore, it is important to classify them in a reliable way. [...]
2017 - 10.5565/rev/elcvia.1102
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 5-8 (Special Issue on Recent PhD Thesis Dissemination (2017))  
5.
4 p, 390.0 KB Feature extraction algorithms from MRI to evaluate quality parameters on meat products by using data mining / Caballero Jorna, Daniel ; Caro Lindo, Andrés, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos) ; Antequera Rojas, Teresa, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos) ; Pérez-Palacios, Trinidad, dir. (Universidad de Extremadura. Departamento de Ingeniería de Sistemas Informáticos y Telemáticos)
This thesis proposes a new methodology to determine the quality characteristics of meat products (Iberian loin and ham) in a non-destructive way. For that, new algorithms have been developed to analyze Magnetic Resonance Imaging (MRI), and data mining techniques have been applied on data obtained from the images. [...]
2017 - 10.5565/rev/elcvia.1100
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 1-4 (Special Issue on Recent PhD Thesis Dissemination (2017))  
6.
4 p, 107.2 KB Learning audio and image representations with bio-inspired trainable feature extractors / Strisciuglio, Nicola (University of Groningen. Johann Bernoulli Institute for Mathematics and Computer Science)
Since when very young, we can quickly learn new concepts, and distinguish between different kinds of object or sound. If we see a single object or hear a particular sound, we are then able to recognize such sample or even different versions of it in other scenarios. [...]
2017 - 10.5565/rev/elcvia.1128
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 17-20 (Special Issue on Recent PhD Thesis Dissemination (2017))  
7.
3 p, 117.1 KB Hierarchical Visual Content Modelling and Query based on Trees / Setyanto, Arief (University of Essex. School of Computer Science and ELectronics Engineering)
In recent years, such vast archives of video information have become available that human annotation of content is no longer feasible; automation of video content analysis is therefore highly desirable. [...]
2016 - 10.5565/rev/elcvia.952
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 40-42  
8.
3 p, 2.6 MB Monitoring Infants by Automatic Video Processing / Cattani, Luca ; Raheli, Riccardo, dir.
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals. [...]
2016 - 10.5565/rev/elcvia.983
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 10-12 (Special Issue on Recent PhD Thesis Dissemination (2016))  
9.
3 p, 1.5 MB Image Processing for Art Investigation / Cornelis, Bruno
Recent advances in digital image acquisition methods and the wide range of imaging modalities currently available have triggered museums to digitize their painting collections. Not only is this crucial for archival or dissemination purposes but it also enabled the digital analysis of the painting through its digital image counterpart. [...]
2015 - 10.5565/rev/elcvia.715
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , 13-15 (Special Issue on Recent PhD Thesis Dissemination (2014))  
10.
2 p, 148.7 KB DROP : a Data Reduction and Organization Paradigm and its Application in Image Analysis / Saito, Priscila T. M.
In this paper, we deal with the problem of the annotation process in image analysis. This problem refers to the trade-off, wherein the human knowledge is indispensable for the success of the process and human's time and effort are precious resources. [...]
2015 - 10.5565/rev/elcvia.727
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 31-32 (Special Issue on Recent PhD Thesis Dissemination (2014))  

Articles : 16 records found   1 - 10next  jump to record:
Research literature 1 records found  
1.
10 p, 650.4 KB Detecció de les mans al volant durant la conducció / Navas Peña, Inmaculada ; Hernàndez i Sabaté, Aura, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
En l'actualitat ens trobem en un estat entre la conducció tradicional i la conducció autònoma. Per a poder donar completament el salt d'una a l'altre s'ha de passar per un estat intermedi en el qual s'afegeixen elements d'automatització durant la conducció tradicional. [...]
Nowadays we are in a state between traditional driving and autonomous driving. In order to be able to pass from one to the other one it is necessary to go through an intermediate state in which automation elements are added during traditional driving. [...]
En la actualidad nos encontramos en un estado entre la conducción tradicional y la conducción autónoma. Para poder dar completamente el salto de una a la otra se debe pasar por un estado intermedio en el que se añaden elementos de automatización durante la conducción tradicional. [...]

2017-06-28
Enginyeria Informàtica [958]  

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