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About

I am a Coordinator Professor at the Polytechnic of Porto and a Researcher at INESC TEC, where I lead the Multimedia Communications Technology Area. I  obtained my PhD from University of Porto in the area of multimedia content management. I have been responsible for the participation of INESC TEC in several national and European projects, involving universities and media industries. Author of several publications, I am also an active reviewer for journals and conferences and engaged in the organization of workshops and program committees in the area of Multimedia. Recently I co-chaired the Immersive Media Experiences workshop series (2013-2015) at ACM MM. Additionally I am also often engaged in the evaluation of European and Portuguese research proposals and projects. My main research activities and interests are in the field of networked audiovisual systems, including digital television and new services, content management, personalization and recomendation, new media formats and immersive and interactive media.

Interest
Topics
Details

Details

010
Publications

2019

YouTube timed metadata enrichment using a collaborative approach

Authors
Pinto, JP; Viana, P;

Publication
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

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

Publication
Electronics Letters

Abstract

2019

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

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

Publication
INTED2019 Proceedings

Abstract

2019

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

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

Publication
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

Authors
Pinto, JP; Viana, P;

Publication
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.

Supervised
thesis

2017

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

Author
ARAVIND MARIMUTHU

Institution
IPP-ISEP

2017

SINGLE SIGN-ON E USER EXPERIENCE DO IPORTALDOC

Author
MIGUEL ÂNGELO DA COSTA SANTOS

Institution
IPP-ISEP

2017

ALGORITMOS CRIPTOGRÁFICOS E O SEU DESEMPENHO NO ARDUINO

Author
NUNO JOSÉ TEIXEIRA REIS BARBOSA

Institution
IPP-ISEP

2017

Anotação em conteúdos audiovisuais em contexto educativo

Author
João Miguel Calisto Marçal

Institution
UP-FEUP

2016

Reconhecimento de Exercícios Físicos em Tempo-Real em Dispositivos Wearable

Author
TIAGO MIGUEL DA SILVA FERREIRA

Institution
IPP-ISEP