@article {131,
	title = {Optimal two-pass frame-layer bit allocation for H.264 Video},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2008},
	pages = {174 - 179},
	abstract = {In this work, the frame-layer bit allocation problem is studied for H.264 video. We first impose a GOP (Group of Pictures) structure on the underlying H.264 video, and then develop a two-pass rate control algorithm based on the Lagrange optimization framework. The proposed algorithm estimates the rates and the distortions of all frames in a GOP by preencoding them using a constant quantization parameter (QP) in the first pass. The target number of bits of each frame is determined by searching the Lagrange multiplier that meets the bit budget constraint for the GOP. The proposed algorithm is useful for nonconversational applications such as video streaming where video sources can be encoded off-line. Experimental results demonstrate that the proposed algorithm achieves substantially higher picture quality than the rate control algorithm in the H.264 reference encoder.},
	keywords = {Bit allocation, H.264, Rate control, Rate-distortion optimization},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72449209699\&partnerID=40\&md5=c41f97ca2d0ee3770b908360518c3556},
	author = {Kwon, D.-K. and Shen, M.-Y. and Kuo, C.-C.J.}
}
@article {139,
	title = {Rate control scheme based on cauchy R-D optimization model for H.264/AVC under low delay constraint},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):1Export Date: 10 July 2014},
	month = {2008},
	pages = {180 - 188},
	abstract = {The motivation of this work is based on the observation that Cauchy distribution provides more accurate estimates of rate and distortion characteristics of video sequences than the previously used distribution such as Laplacian distribution. In this paper, we propose a new rate control scheme for H.264 low-delay video transmission using Cauchy rate-distortion optimization model. Our proposed method uses the Lagrange Multiplier technique to optimize the cost function, and be able to find the rate and distortion model subject to the target bit rate constraint resulting in the optimum choice of quantization step sizes. Model parameters are estimated using statistical linear regression analysis. The target number of bits for each frame is determined according to their buffer status, the number of bits use in the previous frame, and basic unit complexity. The proposed scheme has been implemented on H.264 video coder. Simulation results show that the proposed rate control algorithm achieves, on the average, an improvement in PSNR for up to 1.68dB with lesser number of frames skipped as compared with the default H.264 JM8.6 rate control scheme.},
	keywords = {Cauchy distribution, Lagrange multiplier technique, Linear regression analysis, Low delay, Rate control},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72449205119\&partnerID=40\&md5=60340eb5bbe6774b89e2d6c72f1c7181},
	author = {Eiamjumrus, N. and Aramvith, S.}
}
