Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About
Download Photo HD

About

Maria Teresa Andrade is an Assistant Professor at FEUP, at DEEC. She obtained a degree in Electrotechnical and Computing Engineering in 1986, the MSc in 1992 and the PhD in 2008, at FEUP. She participates in research activities at INESC TEC, integrated in the research team of the Multimedia Systems Area of the Center for Telecommunications and Multimedia. Main interests include context-awareness, mobile and adaptable multimedia applications in heterogeneous environments; 3D and multiview video streaming; quality of service and of experience in multimedia services; semantic technologies and content recommendation; digital television, digital cinema and new media.

Interest
Topics
Details

Details

011
Publications

2021

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

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

Publication
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

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

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

Abstract

2021

Inferring Contextual Data from Real-World Photography

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

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

Abstract

2020

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

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

Publication
Proceedings of the 28th ACM International Conference on Multimedia

Abstract

2020

Humanoid Robot Kick in Motion Ability for Playing Robotic Soccer

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

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

Abstract

Supervised
thesis

2020

Context-Based Cultural Visits

Author
Mariana Figueiredo Moutinho Resende Assis

Institution
UP-FEUP

2020

Cloud tools for crowdsourced live journalism

Author
Rui André Rebolo Fernandes Leixo

Institution
UP-FEUP

2020

New interaction models for 360º video

Author
Gonçalo Teixeira da Costa

Institution
UP-FEUP

2020

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

Author
Rui Vítor Pires Fernandes

Institution
UP-FEUP

2020

Enhanced multiview experiences through remote content selection and dynamic quality adaptation

Author
Tiago André Queiroz Soares da Costa

Institution
UP-FEUP