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Sobre

Maria Teresa Andrade é Professora Auxiliar na FEUP, no DEEC. Obteve a licenciatura em 1986, o grau de mestre em 1992 e o doutoramento em 2008 em Eng. Electrotécnica e de Computadores pela FEUP. Participa em actividades de investigação no INESC TEC, integrada na área de Sistemas Multimédia do Centro de Telecomunicações e Multimédia. Áreas de interesse: aplicações multimédia sensíveis ao contexto de utilização, em ambientes móveis e heterogéneos; tecnologias semânticas e recomendação de conteúdos; streaming de vídeo 3D e multi-vista; Qualidade de serviço e de experiência em serviços multimédia; televisão e cinema digitais e novos media.

Tópicos
de interesse
Detalhes

Detalhes

011
Publicações

2021

A Systematic Survey of ML Datasets for Prime CV Research Areas—Media and Metadata

Autores
Castro, HF; Cardoso, JS; Andrade, MT;

Publicação
Data

Abstract
The ever-growing capabilities of computers have enabled pursuing Computer Vision through Machine Learning (i.e., MLCV). ML tools require large amounts of information to learn from (ML datasets). These are costly to produce but have received reduced attention regarding standardization. This prevents the cooperative production and exploitation of these resources, impedes countless synergies, and hinders ML research. No global view exists of the MLCV dataset tissue. Acquiring it is fundamental to enable standardization. We provide an extensive survey of the evolution and current state of MLCV datasets (1994 to 2019) for a set of specific CV areas as well as a quantitative and qualitative analysis of the results. Data were gathered from online scientific databases (e.g., Google Scholar, CiteSeerX). We reveal the heterogeneous plethora that comprises the MLCV dataset tissue; their continuous growth in volume and complexity; the specificities of the evolution of their media and metadata components regarding a range of aspects; and that MLCV progress requires the construction of a global standardized (structuring, manipulating, and sharing) MLCV “library”. Accordingly, we formulate a novel interpretation of this dataset collective as a global tissue of synthetic cognitive visual memories and define the immediately necessary steps to advance its standardization and integration.

2020

Semantic Storytelling Automation: A Context-Aware and Metadata-Driven Approach

Autores
Viana, P; Carvalho, P; Andrade, MT; Jonker, PP; Papanikolaou, V; Teixeira, IN; Vilaça, L; Pinto, JP; Costa, T;

Publicação
Proceedings of the 28th ACM International Conference on Multimedia

Abstract

2020

Humanoid Robot Kick in Motion Ability for Playing Robotic Soccer

Autores
Teixeira, H; Silva, T; Abreu, M; Reis, LP;

Publicação
2020 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2020, Ponta Delgada, Portugal, April 15-17, 2020

Abstract

2020

Ubiquitous Framework for High Quality Audiovisual Production

Autores
Andrade, MT; Santos, P; Costa, TS; Freitas, L; Golestani, S; Viana, P; Rodrigues, J; Ulisses, A;

Publicação
Proceedings - 2020 TRON Symposium, TRONSHOW 2020

Abstract
The media sector is constantly evolving and, in the last few years, such evolution has been driven by a number of convergence paradigms, notably, that between broadband and broadcast technologies with the introduction of IT and IP technology. The present trend is to switch totally from a closed niche that uses highly specialized equipment to off-the-shelf IT-centric solutions, offering easy configuration and remote operation. The aim is to enable common computers to be turned into highly capable media devices and act as connected objects adopting an IoT-like paradigm. This vision, though, is not implemented easily, given that most media industry professionals do not yet feel comfortable operating in the IT technology space and also due to the stringent requirements that exist in this industry. The Joint Task Force on Networked Media is defining specifications that aim at overcoming such existing barriers. In this article we present a novel solution that follows the guidelines delivered by this group to set up a remotely operated media production facility, totally based on IP and IT technology, constituting a step forward the realization of the IoT concept in professional media environments. The focus is on two complementary components, namely, the GUI Agent and the MW Agent, which are not covered by the defined specifications but that are crucial to speed up the deployment of concrete solutions that can be easily operated by non-IT and non-IP experts in a transparent and ubiquitous way. © 2020 TRON Forum.

2020

Video-assisted overtaking system enabled by C-V2X mode 4 communications

Autores
Magalhães, P; d'Orey, PM; Andrade, MT; Castro, F;

Publicação
International Conference on Wireless and Mobile Computing, Networking and Communications

Abstract
The overtaking maneuver can be often dangerous and risky, especially when driving in rural roads, with a significant probability of leading to fatalities and serious injuries. Vehicle communication emerges as one of the leading technologies to improve the driving experience and road safety. This article presents a system designed to augment road safety in an Over-taking Maneuver, providing the ahead vehicle's Line-of-Sight by real-time video-streaming. It uses the C-V2X Transmission Mode 4 that, building upon cellular technology, has evolved as one of the main standards for vehicle communication. Results show an effective application of the system in real overtaking scenarios, enhancing the safety and proving its usefulness. Whilst having some impact on the latency, the solution incurred in low packet losses and provided good video quality. © 2020 IEEE.

Teses
supervisionadas

2020

Context-Based Cultural Visits

Autor
Mariana Figueiredo Moutinho Resende Assis

Instituição
UP-FEUP

2020

Enhanced multiview experiences through remote content selection and dynamic quality adaptation

Autor
Tiago André Queiroz Soares da Costa

Instituição
UP-FEUP

2020

Video-assisted Overtaking System enabled by V2V Communications

Autor
Pedro António Ribeiro Magalhães

Instituição
UP-FEUP

2020

Cloud tools for crowdsourced live journalism

Autor
Rui André Rebolo Fernandes Leixo

Instituição
UP-FEUP

2020

New interaction models for 360º video

Autor
Gonçalo Teixeira da Costa

Instituição
UP-FEUP