Results overview: Found 37 records in 0.02 seconds.
Articles, 31 records found
Research literature, 6 records found
Articles 31 records found  1 - 10nextend  jump to record:
1.
11 p, 498.2 KB Analysis of the Measurement Matrix in Directional Predictive Coding for Compressive Sensing of Medical Images / Christinal, Hepzibah A. (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Kowsalya, G. (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Chandy D., Abraham (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Jebasingh, Stephenraj (Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India) ; Bajaj, Chandrajit (University of Texas)
Compressive sensing of 2D signals involves three fundamental steps: sparse representation, linear measurement matrix, and recovery of the signal. This paper focuses on analyzing the efficiency of various measurement matrices for compressive sensing of medical images based on theoretical predictive coding. [...]
2021 - 10.5565/rev/elcvia.1412
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 102-113 (Regular Issue)  
2.
18 p, 2.9 MB A Multi-staged Feature-Attentive Network for Fashion Clothing Classification and Attribute Prediction / Shajini, Majuran (University of Jaffna) ; Ramanan, Amirthalingam (University of Jaffna)
In the visual fashion clothing analysis, many researchers are attracted with the success of deep learning concepts. In this work, we introduce a multi-staged feature-attentive network to attain clothing category classification and attribute prediction. [...]
2021 - 10.5565/rev/elcvia.1409
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 83-100 (Regular Issue)  
3.
18 p, 498.2 KB An Efficient BoF Representation for Object Classification / Vinoharan, Veerapathirapillai (University of Jaffna) ; Ramanan, Amirthalingam (University of Jaffna, Department of Computer Science)
The Bag-of-features (BoF) approach has proved to yield better performance in a patch-based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as scale-invariant feature transform and speeded up robust features, extracted from images to create a BoF vector) leads to huge computational cost and an increased storage requirement. [...]
2021 - 10.5565/rev/elcvia.1403
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 51-68 (Regular Issue)  
4.
15 p, 1.4 MB Recognition of Devanagari Scene Text Using Autoencoder CNN / Shiravale, Sankirti S. (Marathwada Mitra Mandal's College of Engineering (Índia). Department of Computer Engineering) ; Jayadevan, R. (Army Institute of Technology (Pune, Índia). Department of Computer Engineering) ; Sannakki, Sanjeev S. (Gogte Institute of Technology (Belagavi, Índia). Department of Computer Science and Engineering)
Scene text recognition is a well-rooted research domain covering a diverse application area. Recognition of scene text is challenging due to the complex nature of scene images. Various structural characteristics of the script also influence the recognition process. [...]
2021 - 10.5565/rev/elcvia.1344
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 55-69 (Regular Issue)  
5.
13 p, 2.0 MB A comparison of an RGB-D camera's performance and a stereocamera in relation to object recognition and spatial position determination / Rodriguez, Julian Severiano (Universidad de San Buenaventura (Bogotá, Colombia))
Results of using an RGB-D camera (Kinect sensor) and a stereo camera, separately, in order to determine the 3D real position of characteristic points of a predetermined object in a scene are presented. [...]
2021 - 10.5565/rev/elcvia.1238
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 16-27 (Regular Issue)  
6.
5 p, 3.8 MB Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling / Morocho-Cayamcela, Manuel Eugenio (Escuela Superior Politécnica del Litoral)
This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications. [...]
2021 - 10.5565/rev/elcvia.1337
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 2 (2020) , p. 17-21 (Special Issue on Recent PhD Thesis Dissemination (2020))  
7.
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))  
8.
16 p, 494.0 KB Face Analysis Using Row and Correlation Based Local Directional Pattern / Ramalingam, Srinivasa Perumal (Vellore Institute of Technology (Vellore, Índia). School of Information Technology and Engineering) ; Mouli, Chandra (Central University of Tamil Nadu (Tamil Nadu, Índia). Department of Computer Science)
Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. [...]
2020 - 10.5565/rev/elcvia.1254
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 3 (2020) , p. 55-70 (Regular Issue)  
9.
14 p, 3.3 MB Robust Object Tracking in Infrared Video via Particle Filters / Comas, Edgardo Antonio (Instituto de Investigaciones Científicas y Técnicas para la Defensa (Buenos Aires, Argentina)) ; Stácul, Adrián (Universidad Tecnológica Nacional (Buenos Aires, Argentina)) ; Delrieux, Claudio (Universidad Nacional de Sur (Bahía Blanca, Argentina). Laboratorio de Ciencias de las Imágenes)
In this paper we investigate the effectiveness of particle filters for object tracking in infrared videos. Once the user identifies the target object to be followed in position and size, its most representative feature points are obtained by means of the SURF algorithm. [...]
2020 - 10.5565/rev/elcvia.1185
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 1-14 (Regular Issue)  
10.
15 p, 829.0 KB Automated Leaf Alignment and Partial Shape Feature Extraction for Plant Leaf Classification / Hamid, Laith Emad (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering) ; Al-Haddad, Syed Abdul Rahman (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering)
The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. Several approaches have been proposed, and the majority focused on global shape features. [...]
2019 - 10.5565/rev/elcvia.1143
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 37-51 (Regular Issue)  

Articles : 31 records found   1 - 10nextend  jump to record:
Research literature 6 records found  
1.
8 p, 1.1 MB Tic tac toe amb intel·ligència artificial / Morales Soto, Rubén ; Pedret Ferré, Carles, dir. (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
El tres en ratlla és el joc seleccionat per poder aplicar els coneixements i tecnologies apreses al llarg del grau. Aquest projecte parteix d'un anterior en el qual es va desenvolupar un robot capaç de moure les peces del joc amb moviments provocats de forma manual. [...]
El tres en raya es el juego seleccionado para poder aplicar los conocimientos y tecnologías aprendidas a lo largo del grado. Este proyecto parte de uno anterior en el cual se había desarrollado un robot capaz de mover las piezas del juego con movimientos provocados de forma manual. [...]
Tic tac toe is the selected game to apply the knowledge and tecnologies learned trhough the degree. This project comes from a previous one in which was developed a robot able to move game pieces with manual movements. [...]

2023
Grau en Gestió de Ciutats Intel·ligents i Sostenibles [1395]  
2.
12 p, 612.2 KB Xarxes neuronals sobre plataformes encastades per l'espai / Labajos Martín De Villodres, Alejandro ; Montón i Macián, Màrius, dir. (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
Dins del marc de treball i de les necessitats del projecte Víbria de l'Institut d'Estudis Espacials de Catalunya, aquest treball busca implementar un sistema electrònic encastat per al reconeixement i classificació d'imatges sobre microcontroladors tipus ARM-Cortex i RISC-V fent ús de les instruccions vectorials d'aquesta darrera arquitectura emergent. [...]
Dentro del marco de trabajo y las necesidades del proyecto Víbria del Instituto de Estudios Espaciales de Cataluña, este trabajo busca implementar un sistema electrónico encastado para el reconocimiento y clasificación de imágenes sobre microcontroladores tipos ARM-Cortex y RISC-V usando las instrucciones vectoriales de esta segunda arquitectura emergente. [...]
Within the framework and project requirements of Víbria at the Institute of Space Studies of Catalonia, this study aims to.

2023
Enginyeria Informàtica [958]  
3.
25.3 MB Document Image Enhancement and Recognition in Low Resource Scenarios : Application to Ciphers and Handwritten Text / Souibgui, Mohamed Ali ; Fornes Bisquerra, Alicia, dir. ; Yousri, Kassentini, dir. ; Lladós, Josep, dir.
En aquesta tesi proposem diferents contribucions per tal de millorar i reconèixer imatges de documents manuscrits històrics, especialment aquells amb escriptures rares, com els documents xifrats. A la primera part es presenten alguns models efectius d'extrem a extrem per millorar imatges de documents utilitzant models d'aprenentatge profund. [...]
En esta tesis proponemos diferentes contribuciones con el objetivo de mejorar y reconocer imágenes de documentos manuscritos históricos, especialmente aquellos con escrituras raras, como los documentos cifrados. [...]
In this thesis, we propose different contributions with the goal of enhancing and recognizing historical handwritten document images, especially the ones with rare scripts, such as cipher documents. In the first part, some effective end-to-end models for Document Image Enhancement (DIE) using deep learning models were presented. [...]

2022  
4.
159 p, 14.5 MB Continual learning for hierarchical classification, few-shot recognition, and multi-modal learning / Wang, Kai ; Weijer, Joost van de, dir. ; Herranz, Luis, dir.
Aquest article investiga sobre "Aprenentatge continu per a classificació jeràrquica, reconeixement amb pocs exemples i aprenentatge multimodal.
Este trabajo investiga sobre "Aprendizaje continuo para clasificación jerárquica, reconocimiento con pocos ejemplos y aprendizaje multimodal.
This paper researches on "Continual learning for hierarchical classification, few-shot recognition, and multi-modal learning.

2022  
5.
12 p, 929.3 KB Classificació d'imatges mitjançant xarxes xeuronals xrtificials i deep learning / García Pérez, Mario ; Casas Roma, Jordi, dir. (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
Entenem com a Intel·ligència Artificial l'habilitat d'un programa o màquina d'entendre o pensar per si mateixa, utilitzant el seu entorn per aprendre i desenvolupar habilitats en base a la pràctica i experiència. [...]
Entendemos como Inteligencia Artificial como la habilidad de un programa o máquina de entender o pensar por si misma, utilizando su entorno para aprender y desarrollar habilidades en base a la práctica y la experiencia. [...]
We understand artificial intelligence as ability of a program or machine to understand or think for itself, using its environment to learn and develop skills based on practice and experience. Nowadays, the use of this technology, together with Machine Learning and Deep Learning, has opened up a set of possibilities, unimaginable some time ago, that can offer new functionalities with a very high potential. [...]

2019-02-12
Enginyeria Informàtica [958]  
6.
9 p, 1.2 MB Desarrollo de una aplicación móvil para la detección de texto en imágenes TDetect / Saura Lopez, Macari ; Valveny Llobet, Ernest, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Escola d'Enginyeria
En la actualidad existe gran diversidad de aplicaciones móviles para abastecer las distintas necesidades de los usuarios, entre ellas están las que nos ayudan a localizar lugares de interés, reconocer canciones en tiempo real con solo escucharla, traducir textos en múltiples idiomas o los típicos y más comunes como son los buscadores web entre otros. [...]
Actualment hi ha gran diversitat d'aplicacions mòbils per a proveir les diferents necessitats dels usuaris, entre elles hi ha les que ens ajuden a localitzar llocs d'interès, reconèixer cançons en temps real amb només escoltar-la, traduir textos en múltiples idiomes o els típics i més comuns com són els cercadors web entre d'altres. [...]
At present it exists a great variety of mobile applications to supply the different users' needs, among them are those that help us to locate places of interest, recognize songs in-real time just listening to them, translate texts in different languages or the typical and the most common web browsers among others. [...]

2015-02-12
Enginyeria Informàtica [958]  

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