TU Berlin

Quality and Usability LabMarie-Neige Garcia

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Marie-Neige Garcia

Lupe

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

Lupe

 

Publications

Objective No-reference prediction of saliency changes in the presence of packet losses
Citation key argyropoulos2013a
Author Argyropoulos, Savvas and Garcia, Marie-Neige and List, David and Schleicher, Robert and Raake, Alexander
Title of Book Int. Workshop on Video Processing and Quality Metrics (VPQM)
Year 2013
Month jan
Abstract In this paper, a novel no-reference method to predict the impact of packet losses in video sequences on visual attention is proposed. Initially, the results of a subjective eye-tracking experiment are analyzed to determine whether the artefacts caused by network degradations result in abrupt saliency changes. Then, the proposed method employs existing objective visual attention models to compute the saliency maps of the individual frames. Subsequently, the temporal consistency of the saliency maps is investigated and correlated with the error propagation pattern that results from the packet losses to predict visual saliency changes in a rule-based approach. Experimental results on a proprietary database are presented to demonstrate the validity of the proposed method.
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