Abstract
To meet the requirement of high-quality transmission of videos captured by unmanned aerial vehicles (UAV) with low bandwidth, a novel rate control (RC) scheme based on region-of-interest (ROI) is proposed. First, the ROI information is sent to the encoder with the latest high efficient video coding (HEVC) standard to generate an ROI map. Then, by using the ROI map, bit allocation methods are developed at frame level and large coding unit (LCU) level, to avoid inaccurate bit allocation produced by camera movement. At last, by using a better robustness R-λ model, the quantization parameter (QP) for each LCU is calculated. The experimental results show that the proposed RC method can get a lower bitrate error and a higher quality for reconstructed video by choosing appropriate pixel weight on the HEVC platform.
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References
R. Schneiderman, IEEE Signal Processing Magazine 29, 8 (2012).
M. Bhaskaranand and J. D. Gibson, IEEE Journal of Selected Topics in Signal Processing 9, 139 (2015).
B.-R. Joan, S.-S. Joan and A.-L. Francesc, IEEE Signal Processing Letters 16, 45 (2009).
J. Y. Kim, C. H. Yi and T. Y. Kim, IEEE Transactions on Consumer Electronics 56, 951 (2010).
Y. Liu, Z. Li and Y. Soh, IEEE Transactions on Circuits and Systems for Video Technology 18, 134 (2008).
K. Sun and D. Wu, Journal of Visual Communication & Image Representation 30, 234 (2015).
Xu Sheng-yang, Yu Mei, Jiang Gang-yi, Fang Shu-qing and Shao Feng, Journal of Optoelectronics·Laser 26, 2381 (2015). (in Chinese)
Xu Jian, Wang Rang-ding, Huang Mei-ling, Li Qian and Xu Da-wen, Journal of Optoelectronics·Laser 26, 1753 (2015). (in Chinese)
G. J. Sullivan, J.-R. Ohm, W.-J. Han and T. Wiegand, IEEE Transactions on Circuits and Systems for Video Technology 22, 1649 (2012).
M. Xv, X. Deng, S. Li and Z. Wang, IEEE Journal of Selected Topics in Signal Processing 8, 475 (2014).
M. Simone, B. Riccardo and R. Roberto, A Saliency-Based Rate Control for People Detection in Video, IEEE International Conference on Acoustics, Speech and Signal Processing, 2016 (2013).
B. Li, H. Li, L. Li and J. Zhang, Rate Control by R-lambda Model for HEVC, ITU-T SG16 Contribution, JCT-VC K0103, Shanghai, (2012).
X. Wang and M. Karczewicz, Intra Frame Rate Control Based on SATD, ITU-T SG16 Contribution, JCT-VC M0257, Incheon, (2013).
S. Li, M. Xu, X. Deng and Z. Wang, Signal Processing-Image Communication 38, 127 (2015).
M. Marwa, C. Marco and P.-P Beatrice, Region-of-Interest Based Rate Control Scheme for High Efficiency Video Coding, IEEE International Conference on Acoustics, Speech and Signal Processing, 7338 (2014).
A. Borji, D. N. Sihite and L. Itti, IEEE Transactions on Image Processing 24, 414 (2015).
M.-M. Cheng, Z. Zhang, W.-Y. Lin and P. Torr, BING: Binarized Normed Gradients for Objectness Estimation at 300fps, IEEE Conference on Computer Vision and Pattern Recognition, 3286 (2014).
H. Zhou, H. Kong, L. Wei, D. Creighton and S. Nahavandi, IEEE Transactions on Intelligent Transportation Systems 16, 297 (2015).
M. Wang, K. N. Ngan and H. Li, IEEE Signal Processing Letters 22, 896 (2015).
HEVC Reference Software, http://hevc.kw.bbc.co.uk/trac/browser/jctvc-hm/tags, 2012.
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Zhao, Cl., Dai, M. & Xiong, Jy. Region-of-interest based rate control for UAV video coding. Optoelectron. Lett. 12, 216–220 (2016). https://doi.org/10.1007/s11801-016-6052-z
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DOI: https://doi.org/10.1007/s11801-016-6052-z