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Resultats globals: 11 registres trobats en 0.02 segons.
Articles, 11 registres trobats
Articles 11 registres trobats  1 - 10següent  anar al registre:
1.
11 p, 3.5 MB Deep Learning Based Automated Sports Video Summarizationusing YOLO / Guntuboina, Chakradhar (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department) ; Porwal, Aditya ; Jain, Preet (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department) ; Shingrakhia, Hansa (Indus University (Ahmedabad, Índia). Electronics and Communication Engineering Department)
This paper proposes a computationally inexpensive method for automatic key-event extraction and sub-sequent summarization of sports videos using scoreboard detection. A database consisting of 1300 imageswas used to train (using transfer learning) a supervised-learning based object detection algorithm, YOLO(You Only Look Once). [...]
2021 - 10.5565/rev/elcvia.1286
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 99-116 (Regular Issue)  
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2.
20 p, 756.0 KB Social Video Advertisement Replacement and its Evaluation in Convolutional Neural Networks / Yang, Cheng (Auckland University of Technology (Nova Zelanda). Department of Electrical and Electronic Engineering) ; Yu, Xiang (Auckland University of Technology (Nova Zelanda)) ; Kumar, Arun (National Institute of Technology (Odisha, Índia). Department of Computer Science & Engineering) ; Ali, G. G. Md. Nawaz (University of Charleston (Estats Units d'Amèrica). Department of Applied Computer Science) ; Chong, Peter Han Joo (Auckland University of Technology (Nova Zelanda). Department of Electrical and Electronic Engineering) ; Lam, Patrick (Auckland University of Technology (Nova Zelanda))
This paper introduces a method to use deep convolutional neural networks (CNNs) to automatically replace advertisement (AD) photo on social (or self-media) videos and provides the suitable evaluation method to compare different CNNs. [...]
2021 - 10.5565/rev/elcvia.1347
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 117-136 (Regular Issue)  
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3.
5 p, 543.8 KB Processing historical photographs and film footage with Photogrammetry and Artificial Intelligence for Cultural Heritage documentation and virtual reconstruction / Condorelli, Francesca
The specific objective of this thesis is to offer an excursion through the metric potentialities of different data available in historical archives, by considering the essential role of photogrammetry. [...]
2020 - 10.5565/rev/elcvia.1323
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 2 (2020) , p. 11-16 (Special Issue on Recent PhD Thesis Dissemination (2020))  
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4.
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))  
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5.
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))  
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6.
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  
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7.
3 p, 1.0 MB A Confidence Framework for the Assessment of Optical Flow Performance / Márquez Valle, Patricia ; Gil, Debora, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Hernandez-Sabaté, Aura, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Optical Flow (OF) is the input of a wide range of decision support systems such as car driver assistance, UAV guiding or medical diagnose. In these real situations, the absence of ground truth forces to assess OF quality using quantities computed from either sequences or the computed optical flow itself. [...]
2016 - 10.5565/rev/elcvia.949
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 Núm. 2 (2016) , p. 4-6 (Special Issue on Recent PhD Thesis Dissemination (2016))  
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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))  
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9.
3 p, 58.1 KB Monitoring and diagnosing neonatal seizures by video signal processing / Kouamou Ntonfo, G. M.
In this thesis we consider the use of well-known statistical methods to early diagnose, through wire-free low-cost video processing, the potential presence of seizures. For this purpose several approaches, have been proposed: periodicity-based, classification-based and clustering-based approaches.
2014 - 10.5565/rev/elcvia.623
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 58-60  
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10.
2 p, 85.7 KB A Parallel framework for video super-resolution / Garcia Freitas, Pedro
In this work we propose a framework for increasing the processing efficiency of super-resolution algorithms. The framework is targeted at super-resolution video processing algorithms, that require a large amount of data processing. [...]
2014 - 10.5565/rev/elcvia.609
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 56-57  
Registre complet - Creative Commons

Articles : 11 registres trobats   1 - 10següent  anar al registre:
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