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Bitrate modeling of scalable videos using quantization parameter, frame rate and spatial resolution

Azad, Salahuddin, Song, Wei, & Tjondronegoro, Dian W. (2010) Bitrate modeling of scalable videos using quantization parameter, frame rate and spatial resolution. In 35th International Conference on Acoustics, Speech, and Signal Processing, IEEE, Sheraton Dallas Hotel, Texas, pp. 2334-2337.

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Abstract

The quality and bitrate modeling is essential to effectively adapt the bitrate and quality of videos when delivered to multiplatform devices over resource constraint heterogeneous networks. The recent model proposed by Wang et al. estimates the bitrate and quality of videos in terms of the frame rate and quantization parameter. However, to build an effective video adaptation framework, it is crucial to incorporate the spatial resolution in the analytical model for bitrate and perceptual quality adaptation. Hence, this paper proposes an analytical model to estimate the bitrate of videos in terms of quantization parameter, frame rate, and spatial resolution. The model can fit the measured data accurately which is evident from the high Pearson correlation. The proposed model is based on the observation that the relative reduction in bitrate due to decreasing spatial resolution is independent of the quantization parameter and frame rate. This modeling can be used for rate-constrained bit-stream adaptation scheme which selects the scalability parameters to optimize the perceptual quality for a given bandwidth constraint.

Impact and interest:

3 citations in Scopus
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1 citations in Web of Science®

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134 since deposited on 18 Jan 2011
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ID Code: 39528
Item Type: Conference Paper
Additional URLs:
Keywords: Scalable video coding, perceptual quality, video delivery, bitrate modeling
DOI: 10.1109/ICASSP.2010.5496055
ISBN: 9781424442959
ISSN: 1520-6149
Subjects: Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > OTHER TECHNOLOGY (109900) > Technology not elsewhere classified (109999)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2010 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 19 Jan 2011 09:49
Last Modified: 23 Jun 2011 00:08

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