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TU Berlin

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Marie-Neige Garcia


Research Field:

- Quality and Usability

Research Topics:

- Video and Audio-Visual Quality Assessment
- Quality modeling



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


  • 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



Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany




Frame-layer packet-based parametric video quality model for encrypted video in IPTV services.
Citation key garcia2011b
Author Garcia, Marie-Neige and Raake, Alexander
Title of Book IEEE Int. Conf. on Quality of Multimedia Experience
Pages 102–106
Year 2011
ISBN 978-1-4577-1334-7
DOI 10.1109/QoMEX.2011.6065685
Address Mechelen, Belgium
Month sep
Note electronic
Publisher IEEE
How Published full
Abstract This paper presents a parametric video quality model for monitoring the perceived quality of High Definition (HD, 1920×1080) encrypted videos for IPTV services. The model has been developed based on the results of extensive subjective video quality tests. In this study we focus on the modeling of the quality impact of packet-loss in case slicing has been applied as basis for subsequent packet-loss-concealment (PLC) for H.264 encoding. We introduce a parameter which describes the spatial-extent and duration of the loss by considering ``frame-layer'' information such as the frame type. This parameter is combined with an erroneous Group-Of-Picture (GOP) counter for predicting the perceived quality. With the slice size as additional parameter, the model coefficients are independent of the GOP structure, of the packet-loss distribution and of the number of slices per frame. The model thus is more general, and shows higher performance than models not considering ``frame-layer'' information.
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