Cookies
Usamos cookies para melhorar nosso site e a sua experiência. Ao continuar a navegar no site, você aceita a nossa política de cookies. Ver mais
Fechar
  • Menu
Sobre

Sobre

Sou Professora Coordenadora no Politécnico do Porto e Investigadora no INESC TEC, no Centro de Telecomunicações e Multimédia, onde lidero a área de Tecnologias de Comunicação Multimédia. Tenho um Doutoramento em Engenharia Electrotécnica e de Computadores pela Universidade do Porto, com um foco na àrea da Gestão de Conteúdos Audiovisuais. Enquanto investigadora do INESC TEC, tenho sido responsável por diversos projectos Europeus e Nacionais, envolvendo parceiros da área da indústria, media e academia. Autora de diversas publicações, sou também revisora activa de artigos submetidos a conferências e revistas, membro de comissões científicas e de organização de conferências. Recentemente, organizei a série de Workshops com o tema "Immersive Media Experiences" (2013-2015) na maior conferência na área de multimédia (ACM Multimedia). Participo frequentemente como perita da Comissão Europeia ou de organismos nacionais na avaliação de propostas de investigação. Os meus interesses de investigação centram-na na área dos sistema de comunicação multimedia, incluindo televisão e novos serviços, gestão de conteúdos, personalização e recomendação, novos formatos e conteúdos imersivos e interactivos.

Tópicos
de interesse
Detalhes

Detalhes

010
Publicações

2019

YouTube timed metadata enrichment using a collaborative approach

Autores
Pinto, JP; Viana, P;

Publicação
Advances in Intelligent Systems and Computing

Abstract
Although the growth of video content in online platforms has been happening for some time, searching and browsing these assets is still very inefficient as rich contextual data that describes the content is still not available. Furthermore, any available descriptions are, usually, not linked to timed moments of content. In this paper, we present an approach for making social web videos available on YouTube more accessible, searchable and navigable. By using the concept of crowdsourcing to collect the metadata, our proposal can contribute to easily enhance content uploaded in the YouTube platform. Metadata, collected as a collaborative annotation game, is added to the content as time-based information in the form of descriptions and captions using the YouTube API. This contributes for enriching video content and enabling navigation through temporal links. © Springer Nature Switzerland AG 2019.

2019

Predictive multi-view content buffering applied to interactive streaming system

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

Publicação
Electronics Letters

Abstract

2019

STRATEGIES TO HELP STUDENTS ACQUIRE KNOWLEDGE IN PHYSICS THROUGH AUDIOVISUAL WEB RESOURCES

Autores
Marçal, J; Borges, MM; Viana, P; Carvalho, P;

Publicação
INTED2019 Proceedings

Abstract

2019

Automatized Solution for Over-the-Air (OTA) Testing and Validation of Automotive Radar Sensors

Autores
Rocha, CJ; Ribeiro, R; Cruz, PM; Viana, P;

Publicação
Proceedings of the 2019 9th IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2019

Abstract
The growing importance of Radar solutions in automotive applications results in new standards to be met and more demanding performances to be assured. As such, Radar developers require testers capable of guaranteeing compliance with the specified criteria. This paper presents a preliminary approach to allow over-the-air (OTA) testing and validation of 76-77 GHz and 77-81 GHz Radar units in production lines, covering not only pass/fail conditions, but also determination of the Radar antenna array radiation diagrams (in azimuth and elevation) through a calibrated external power sensor. Preliminary measurements on an open environment test bench are shown for different Radar bandwidths (1 GHz and 4 GHz), illustrating the importance of a clean and shielded anechoic chamber environment as a baseline approach. © 2019 IEEE.

2018

GymApp: A real time physical activity trainner on wearable devices

Autores
Viana, P; Ferreira, T; Castro, L; Soares, M; Pinto, JP; Andrade, T; Carvalho, P;

Publicação
Proceedings - 2018 11th International Conference on Human System Interaction, HSI 2018

Abstract
Technological advances are pushing into the mass market innovative wearable devices featuring increasing processing and sensing capacity, non-intrusiveness and ubiquitous use. Sensors built-in those devices, enable acquiring different types of data and by taking advantage of the available processing power, it is possible to run intelligent applications that process the sensed data to offer added-value to the user in multiple domains. Although not new to the modern society, it is unquestionable that the present exercise boom is rapidly spreading across all age groups. However, in a great majority of cases, people perform their physical activity on their own, either due to time or budget constraints and may easily get discouraged if they do not see results or perform exercises inadequately. This paper presents an application, running on a wearable device, aiming at operating as a personal trainer that validates a set of proposed exercises in a sports session. The developed solution uses inertial sensors of an Android Wear smartwatch and, based on a set of pattern recognition algorithms, detects the rate of success in the execution of a planned workout. The fact that all processing can be executed on the device is a differentiator factor to other existing solutions. © 2018 IEEE.

Teses
supervisionadas

2017

Anotação em conteúdos audiovisuais em contexto educativo

Autor
João Miguel Calisto Marçal

Instituição
UP-FEUP

2017

ANALYSIS AND TESTING METHODOLOGY FOR BLUETOOTH AUDIO IN 0KM/FIELD CLAIMED PRODUCTS OF BOSCH CAR MULTIMEDIA PORTUGAL, S.A.

Autor
ARAVIND MARIMUTHU

Instituição
IPP-ISEP

2017

SINGLE SIGN-ON E USER EXPERIENCE DO IPORTALDOC

Autor
MIGUEL ÂNGELO DA COSTA SANTOS

Instituição
IPP-ISEP

2017

ALGORITMOS CRIPTOGRÁFICOS E O SEU DESEMPENHO NO ARDUINO

Autor
NUNO JOSÉ TEIXEIRA REIS BARBOSA

Instituição
IPP-ISEP

2016

Reconhecimento de Exercícios Físicos em Tempo-Real em Dispositivos Wearable

Autor
TIAGO MIGUEL DA SILVA FERREIRA

Instituição
IPP-ISEP