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Marie-Neige Garcia
Research Field:
- Quality and Usability
Research Topics:
- Video and Audio-Visual Quality Assessment
- Quality modeling
Biography
Since 2006: PhD Student at Technische Universität Berlin / Deutsche Telekom Laboratories
2004-2006: Project manager at ELDA (Evaluation and Language Resources Distribution Agency) , Speech evaluation department - Paris, France
- Project manager in the EVALDA/EvaSy
campaign (Evaluation of speech synthesis systems in French)
- In charge of the evaluation of
Text-to-speech systems in the European project TC-STAR (speech-to-speech
translation)
- In charge of the evaluation of video
technologies in the project CHIL (Pervasive Interaction Computing)
2003: Master’s Degree in Engineering at ISEP (Electronics Superior Institute of Paris); areas of study: informatics, telecommunications, electronics
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Publications
Citation key | raake2011b |
---|---|
Author | Raake, Alexander and Gustafsson, Jörgen and Argyropoulos, Savvas and Garcia, Marie-Neige and Lindegren, David and Heikkilä, Gunnar and Pettersson, Martin and List, Peter and Feiten, Bernhard |
Pages | 68–79 |
Year | 2011 |
ISSN | 1053-5888 |
Journal | IEEE Signal Processing Magazine |
Volume | 28 |
Number | 6 |
Month | nov |
How Published | full |
Abstract | This article provides a tutorial overview of current approaches for monitoring the quality perceived by users of IP-based audiovisual media services. The article addresses both mobile and fixed network services such as mobile TV or Internet Protocol TV (IPTV). It reviews the different quality models that exploit packet- header-, bit stream-, or signal-information for providing audio, video, and audiovisual quality estimates, respectively. It describes how these models can be applied for real-life monitoring, and how they can be adapted to reflect the information available at the given measurement point. An outlook gives insight into emerging trends for near- and mid-term future requirements and solutions. |