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Sobre
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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

011
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.

2019

Improving Youtube video retrieval by integrating crowdsourced timed metadata

Autores
Pinto, JP; Viana, P;

Publicação
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Abstract
The development of efficient methods for searching and browsing large assets of video content has been considered by the academia and content owners for long. Different approaches that range from manual structured annotations, to unstructured metadata collected from several sources, as well as multimedia processing for automatic description of the content, can be identified. The growth on the number of hours of video content put online in video sharing platforms has however shown that video retrieval is still quite inefficient as rich contextual data that describes the content is most of the times still not available. Additionally, metadata is usually not linked to timed moments of content, making direct access to the most relevant moments not possible. In this paper, an approach for making web videos available in the YouTube platform more accessible is presented. The solution is based on a collaborative process presented as a game that enables collecting metadata from the crowd while implementing mechanisms that remove erroneous information usually encountered in this type of information. Metadata, exported to YouTube in the form of captions and descriptions, contributes to enhance video retrieval, guaranteeing a better user experience and exposure of the content.

Teses
supervisionadas

2019

Solução Automatizada para Teste e Validação de Radares Automóveis

Autor
Carlos Júnio Ferreira Martins da Rocha

Instituição
IPP-ISEP

2019

Gamifying Image Annotation: Focus of Attention Identification

Autor
Vignesh Uthrapathy

Instituição
IPP-ISEP

2019

Face Detection and Recognition in Unconstrained Scenarios

Autor
Anabela Machado Reigoto

Instituição
UP-FEUP

2018

Visualização e Navegação de Conteúdos Audiovisuais

Autor
ANDRÉ MANUEL CARNEIRO PINHO

Instituição
IPP-ISEP

2018

PROJETO DE COMUNICAÇÃO VIA STREAMING

Autor
ISAQUE DA SILVA FALCÃO

Instituição
IPP-ISEP