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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.

2021

SmoothMV

Autores
da Costa, TS; Andrade, MT; Viana, P;

Publicação
Proceedings of the International Workshop on Immersive Mixed and Virtual Environment Systems (MMVE '21)

Abstract

2021

Inferring Contextual Data from Real-World Photography

Autores
Costa, TS; Andrade, MT; Viana, P;

Publicação
Advances in Intelligent Systems and Computing - Intelligent Systems Design and Applications

Abstract

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

Teses
supervisionadas

2020

New interaction models for 360º video

Autor
Gonçalo Teixeira da Costa

Instituição
UP-FEUP

2020

Context-Based Cultural Visits

Autor
Mariana Figueiredo Moutinho Resende Assis

Instituição
UP-FEUP

2020

Cloud tools for crowdsourced live journalism

Autor
Rui André Rebolo Fernandes Leixo

Instituição
UP-FEUP

2020

knowledge and content-based strategies for 3d vídeo content adptation decision

Autor
Rui Vítor Pires Fernandes

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