Abstract
Video consumption over VANETs will increase significantly bandwidth and will occupy an important part of the overall data traffic. To decrease the load on the VANET infrastructure and reduce bandwidth taken by video, high efficiency video codecs have been developed. In this work, a benchmarking of H.265/HEVC, H.264/AVC and Google VP9 has been conducted by means of objective and subjective evaluations, assuming an urban VANET scenario. Considering a wide range of bit rates from very low to high, results show a clear advantage of HEVC with average bit rate savings of 27% when compared to VP9 and 49% when compared to AVC.
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Notes
- 1.
The Quantization Parameter (QP) regulates how much spatial detail is saved. When QP is very small, almost all that detail is retained. As QP is increased, some of that detail is aggregated so that the bit rate drops, but at the price of some increase in distortion and some loss of quality.
- 2.
Bj\(\phi \)ntegaard Delta-Rate (BD-Rate) is the average bit rate difference in percentage for the same PSNR.
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Acknowledgments
This work was partly supported by the Spanish Government through projects TEC2014-54435-C4-1-R (INcident monitoRing In Smart COmmunities. QoS and Privacy, INRISCO) and AGAUR Information Security Group (ISG) project - 2014 SGR 1504. Cristian Iza Paredes is recipient of a grant from Secretaria Nacional de Educación Superior, Ciencia y Tecnología SENESCYT. Ahmad Mohamad Mezher is a postdoctoral researcher with the Information Security Group in the Department of Network Engineering at the Universitat Politècnica de Catalunya (UPC). Additional funding supporting this work has been granted to UPC by the Spanish Ministry of Economy and Competitiveness (MINECO) through the “Anonymized Demographic Surveys (ADS)” project, ref. TIN2014-58259-JIN, under the funding program “Proyectos de I+D+i para Jóvenes Investigadores”.
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Iza Paredes, C., Mezher, A.M., Aguilar Igartua, M. (2017). Performance Comparison of H.265/HEVC, H.264/AVC and VP9 Encoders in Video Dissemination over VANETs. In: Gaggi, O., Manzoni, P., Palazzi, C., Bujari, A., Marquez-Barja, J. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 195. Springer, Cham. https://doi.org/10.1007/978-3-319-61949-1_6
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