direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Marie-Neige Garcia


Marie-Neige Garcia is now with the Fachgebiet Assessment of IP-based Applications.

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



Frame-layer packet-based parametric video quality model for encrypted video in IPTV services.
Zitatschlüssel garcia2011b
Autor Garcia, Marie-Neige and Raake, Alexander
Buchtitel IEEE Int. Conf. on Quality of Multimedia Experience
Seiten 102–106
Jahr 2011
ISBN 978-1-4577-1334-7
DOI 10.1109/QoMEX.2011.6065685
Adresse Mechelen, Belgium
Monat sep
Notiz electronic
Verlag IEEE
Wie herausgegeben full
Zusammenfassung 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.
Link zur Originalpublikation Download Bibtex Eintrag

Zusatzinformationen / Extras


Schnellnavigation zur Seite über Nummerneingabe