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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳宏銘 | |
| dc.contributor.author | Tsung-Yau Huang | en |
| dc.contributor.author | 黃崇堯 | zh_TW |
| dc.date.accessioned | 2021-06-16T13:01:10Z | - |
| dc.date.available | 2018-08-23 | |
| dc.date.copyright | 2013-08-23 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-07 | |
| dc.identifier.citation | REFERENCE
[1] Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC), 2003. [2] T. Wiegand, H. Schwarz, A. Joch, F. Kossentini, and G. J. Sullivan, “Rate-Constrained Coder Control and Comparison of Video Coding Standards”, IEEE Trans. Circuits Syst. Video Technol., Vol.13, No. 7, pp.688-703, July 2003. [3] C. An and T. Q. Nguyen, “Iterative rate-distortion optimization of H.264 with constant bit rate constraint,” IEEE Trans. Image Process., vol. 17, no. 9, pp.1605–1615, Sept. 2008. [4] W. Yuan, S. Lin, Y. Zhang, W. Yuan, and H. Luo, “Optimum bit allocation and rate control for H.264/AVC,” IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 6, pp. 705–715, Jun. 2006. [5] E.-H. Yang and X. Yu, “Rate distortion optimization for H.264 interframe coding: a general framework and algorithms,” IEEE Trans. Image Process., vol. 16, no. 7, Jul. 2007. [6] E.-H. Yang and X. Yu, “Soft decision quantization for H.264 with main profile compatibility,” IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 1, Jan. 2009. [7] W. Wang, H. Cui, and K. Tang, “Rate distortion optimized quantization for H.264/AVC based on dynamic programming,” in Proc. SPIE Visual Comm. Image Process., vol. 5960, Jul. 2005, pp. 2100–2111. [8] M. Karczewicz, Y. Ye, “Rate Distortion Optimized Quantization,” in Proc. 34th VCEG Meeting ITU-T Q.6/SG16, Document VCEG-AH21.doc., Antalya Turkey, Jan. 2008. [9] M. Karczewicz, P. Chen, Y. Ye, and R. Joshi, “R-D based quantization in H.264,” in Proc. SPIE App. Digital Image Process. XXXII, vol. 7443, Aug. 2009. [10] M. Xiao, J. Wen, J. Chen, and P. Tao, “An efficient algorithm for joint QP and quantization optimization for H.264/AVC,” in Proc. IEEE Int. Conf. Image Process., Sept. 2010. [11] G. J. Sullivan and T. Wiegand, “Rate-distortion optimization for video compression,” IEEE Signal Process. Mag., vol. 15, no. 6, pp. 74–90, Nov. 1998. [12] A. Ortega and K. Ramchandran, “Rate-distortion methods for image and video compression,” IEEE Signal Process. Mag., vol. 15, no. 6, pp. 23–50, Nov. 1998. [13] T. Wiegand and B. Girod, “Lagrangian multiplier selection in hybrid video coder control,” in Proc. IEEE Int. Conf. Image Process., Oct. 2001. [14] X. Li et al., “Laplace distribution based Lagrangian rate distortion optimization for hybrid video coding ,” IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 2, pp. 193–205, Feb. 2009. [15] T. Wiegand, G. J. Sullivan, G. Bjontegaard, and A. Luthra, “Overview of H.264 video coding standard,” IEEE Trans. Circuits Syst. Video Technol., vol. 13, no. 7, pp. 560–576, Jul. 2003. [16] T.-Y. Huang, P.-Y. Su, C.-K. Kao, and H. H. Chen, “Quality improvement of video codec by rate-distortion optimized quantization,” in Proc. IEEE Workshop Multimedia Qual. Exper., Dec. 2011. [17] T.-Y. Huang, C.-K. Kao, and H. H. Chen, “Acceleration of Rate-Distortion Optimized Quantization for H.264/AVC,” in Proc. IEEE Int. Symp. Circuits Syst., May. 2013. [18] G. J. Sullivan, “Adaptive quantization encoding technique using an equal expected-value rule,” in Proc. 14th JVT Meeting ISO/IEC JTC1/SC29/WG11 and ITU-T Q.6/SG16, Document JVT-N011.doc., Hong Kong, China, Jan. 2005. [19] JVT Reference Software [Online]. Available: http://iphome.hhi.de/suehring/tml/ [20] L. Kerofsky, “Analysis of maximum level allowed in H.264,” in Proc. 10th JVT Meeting ISO/IEC JTC1/SC29/WG11 and ITU-T Q.6/SG16, Document JVT-J021.doc., Waikaloa, Hawaii, USA, Dec. 2003. [21] G. Bjontegaard, “Calculation of average PSNR differences between RD-curves,” in Proc. 13th VCEG Meeting ITU-T Q.6/SG16, Document VCEG-M33.doc., Austin, TX, Apr. 2001. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61331 | - |
| dc.description.abstract | 位元率-誤差最佳化量化能增進影片壓縮效率。然而，目前已提出之基於操作性的方法因需要進行窮舉搜尋，往往導致偏高的運算量。本篇論文中提出一個新的基於分析性之位元率-誤差最佳化量化方法。利用一個熵編碼之位元率模型，我們提出了最佳量化方法的解析解。與H.264/AVC的參考軟體相比，在使用IBBP模式編碼於常用PSNR範圍(30-40dB)時，此方法在相同畫質下減少了約5-7%的位元率，同時只增加了最大不超過1%的總編碼運算時間。 | zh_TW |
| dc.description.abstract | Rate-distortion optimized quantization improves the coding performance of video compression. However, most existing methods based on the operational approach require an exhaustive search process that is computationally expensive. In this thesis, we present a novel analytical method that provides a closed-form solution using a rate model of entropy coding. The computational cost of rate-distortion optimized quantization is greatly reduced. Our method achieves 5-7% bitrate reduction with no greater than 1% increase of total encoding time over the H.264/AVC reference encoder for video coded with IBBP GOP structure in normal PSNR range (30-40dB). | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T13:01:10Z (GMT). No. of bitstreams: 1 ntu-102-R00921055-1.pdf: 802480 bytes, checksum: 1c64b797a86bd8b0b9905a8b3661c03b (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | CONTENTS
口試委員會審定書 # 誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii Chapter 1 Introduction 1 1.1 Video Coding System 1 1.2 Rate-Distortion Optimization 3 1.3 Quantization 5 1.3.1 Conventional Quantization 6 1.3.2 Rate-Distortion Optimized Quantization 7 1.4 Research Goal 9 1.5 Research Contribution 9 1.6 Thesis Organization 9 Chapter 2 Analytical Rate-Distortion Optimized Quantization 10 2.1 Designing an Analytical RDOQ Method 10 2.2 Selecting the Rate Model 11 2.2.1 Self-Information of a Coding Block 12 2.2.2 Formulation of the Rate Model 13 2.2.3 Determining the Rate Model Parameters 14 2.3 Deriving the Distortion Model 18 2.4 Solving the Minimization Problem 20 Chapter 3 Experimental Results 25 3.1 Experimental Settings 25 3.2 Evaluation of Computational Complexity 25 3.3 Evaluation of R-D Performance 30 Chapter 4 Conclusion 45 REFERENCE 46 | |
| dc.language.iso | en | |
| dc.subject | 位元率-誤差最佳化 | zh_TW |
| dc.subject | 影像編碼 | zh_TW |
| dc.subject | 量化 | zh_TW |
| dc.subject | 位元率模型 | zh_TW |
| dc.subject | video coding | en |
| dc.subject | rate model | en |
| dc.subject | quantization | en |
| dc.subject | rate-distortion optimization | en |
| dc.title | 位元率-誤差最佳化量化器設計 | zh_TW |
| dc.title | Rate-Distortion Optimized Quantizer Design | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林銀議,彭文孝,楊士萱,鍾國亮 | |
| dc.subject.keyword | 影像編碼,位元率-誤差最佳化,量化,位元率模型, | zh_TW |
| dc.subject.keyword | video coding,rate-distortion optimization,quantization,rate model, | en |
| dc.relation.page | 48 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-07 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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