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Proceedings Paper

On the definition of adapted audio/video profiles for high-quality video calling services over LTE/4G
Author(s): Maty Ndiaye; Catherine Quinquis; Mohamed Chaker Larabi; Gwenael Le Lay; Hakim Saadane; Clency Perrine
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Paper Abstract

During the last decade, the important advances and widespread availability of mobile technology (operating systems, GPUs, terminal resolution and so on) have encouraged a fast development of voice and video services like video-calling. While multimedia services have largely grown on mobile devices, the generated increase of data consumption is leading to the saturation of mobile networks. In order to provide data with high bit-rates and maintain performance as close as possible to traditional networks, the 3GPP (The 3rd Generation Partnership Project) worked on a high performance standard for mobile called Long Term Evolution (LTE). In this paper, we aim at expressing recommendations related to audio and video media profiles (selection of audio and video codecs, bit-rates, frame-rates, audio and video formats) for a typical video-calling services held over LTE/4G mobile networks. These profiles are defined according to targeted devices (smartphones, tablets), so as to ensure the best possible quality of experience (QoE). Obtained results indicate that for a CIF format (352 x 288 pixels) which is usually used for smartphones, the VP8 codec provides a better image quality than the H.264 codec for low bitrates (from 128 to 384 kbps). However sequences with high motion, H.264 in slow mode is preferred. Regarding audio, better results are globally achieved using wideband codecs offering good quality except for opus codec (at 12.2 kbps).

Paper Details

Date Published: 3 February 2014
PDF: 12 pages
Proc. SPIE 9016, Image Quality and System Performance XI, 90160J (3 February 2014); doi: 10.1117/12.2039291
Show Author Affiliations
Maty Ndiaye, Orange Labs. (France)
Lab. XLIM-SIC, CNRS, Univ. de Poitiers (France)
Catherine Quinquis, Orange Labs. (France)
Mohamed Chaker Larabi, Lab. XLIM-SIC, CNRS, Univ. de Poitiers (France)
Gwenael Le Lay, Orange Labs. (France)
Hakim Saadane, Lab. XLIM-SIC, CNRS, Univ. de Nantes (France)
Clency Perrine, Lab. XLIM-SIC, CNRS, Univ. de Poitiers (France)

Published in SPIE Proceedings Vol. 9016:
Image Quality and System Performance XI
Sophie Triantaphillidou; Mohamed-Chaker Larabi, Editor(s)

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