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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳少傑 | |
dc.contributor.author | Meng-Hsuan Ho | en |
dc.contributor.author | 何孟宣 | zh_TW |
dc.date.accessioned | 2021-05-15T17:55:23Z | - |
dc.date.available | 2018-02-03 | |
dc.date.available | 2021-05-15T17:55:23Z | - |
dc.date.copyright | 2015-02-03 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-11-11 | |
dc.identifier.citation | REFERENCE
[1] Information Technology—Coding of Audio-Visual Objects—Part 10: Advanced Video Coding (H.264), ISO/IEC JTC 1/SC 29 14496-10, 2004. [2] B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, “Distributed Video Coding,” Proc. IEEE, vol.93, no.1, pp. 71-83, Jan. 2005. [3] D. Slepian and J. K. Wolf, 'Noiseless Coding of Correlated Information Sources,' IEEE Trans. on Information Theory, vol. 19, no. 4, pp. 471-480, Jul. 1973. [4] D. Varodayan, A. Aaron, and B. Girod, 'Rate-Adaptive Codes for Distributed Source Coding,' EURASIP Signal Processing Journal, Special Section on Distributed Source Coding, vol. 86, no. 11, pp. 3123-3130, Nov. 2006. [5] DISCOVER DVC Final Results: http://www.img.lx.it.pt/~discover/home.html. [6] A. Aaron, R. Zhang, and B. Girod, 'Wyner-Ziv Coding of Motion Video,' Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, vol.1, pp. 240-244, Nov. 2002. [7] A. Aaron, S. Rane, E. Setton, and B. Girod, “Transform-Domain Wyner–Ziv Codec for Video,” Proc. of Society of Photo-Optical Instrumentation Engineers – Visual Communications and Image Processing, San Jose, CA, USA, Jan. 2004. [8] C.-C. Chiu, S.-Y. Chien, C.-H. Lee, V.S. Somayazulu, and Y.-K. Chen, 'Hybrid Distributed Video Coding with Frame Level Coding Mode Selection,' IEEE International Conference on Image Processing (ICIP), pp. 1561-1564, Oct. 2012. [9] J. Ascenso, C. Brites, F. Pereira, 'Content Adaptive Wyner-ZIV Video Coding Driven by Motion Activity,' IEEE International Conference on Image Processing, pp. 605-608, Oct. 2006. [10] L. Alparone, M. Barni, F. Bartolini, and V. Cappellini, 'Adaptively Weighted Vector-Median Filters for Motion-Fields Smoothing,' IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.4, pp. 2267-2270, May 1996. [11] C. Brites, J. Ascenso, and F. Pereira, 'Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding,' IEEE International Conference on Image Processing, pp.273-276, Oct. 2006. [12] C. Brites and F. Pereira, 'Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding,' IEEE Trans. on Circuits and Systems for Video Technology, vol.18, no.9, pp.1177-1190, Sep. 2008. [13] R. Martins, C. Brites, J. Ascenso, and F. Pereira, 'Refining Side Information for Improved Transform Domain Wyner-Ziv Video Coding,' IEEE Trans. on Circuits and Systems for Video Technology, vol.19, no.9, pp.1327-1341, Sep. 2009. [14] R. G. Gallager, “Low Density Parity Check Codes,” IRE Trans. Information Theory, vol. IT-8, no. 1, pp. 21-28, Jan. 1962. [15] R. M. Tanner, “A Recursive Approach to Low Complexity Codes,” IEEE Trans. Information Theory, vol. IT-27, no.5, pp. 533-547, Sep. 1981. [16] S. Y. Chung, G. D. Forney, T. J. Richardson, and R. L. Urbanke, “On the Design of Low-Density Party-Check Codes within 0.0045 dB of the Shannon Limit,” IEEE Communication Letters, vol. 5, no. 2, pp. 58-60, Feb. 2001. [17] A. Liveris, Z. Xiong, and C. Georghiades, “Compression of Binary Sources with Side Information at the Decoder using LDPC Codes,” IEEE Communications Letters, vol. 6, no.10, pp.440-442, Oct. 2002. [18] M. P. C. Fossorier, M. Mihaljevi’c, and H. Imai, “Reduced Complexity Iterative Decoding of Low-Density Parity Check Codes Based on Belief Propagation,” IEEE Trans. Communications, vol. 47, no.5, pp.673-680, May 1999. [19] C. L. Wey, M. D. Shieh, and S. Y. Lin, “Algorithms of Finding the First Two Minimum Values and their Hardware Implementation,” IEEE Trans. on Circuits and Systems-I: Regular Papers, val. 55, no. 11, pp. 3430-3437, Dec. 2008. [20] L. Alparone, M. Barni, F. Bartolini, and V. Cappellini, 'Adaptively Weighted Vector-Median Filters for Motion-Fields Smoothing,' IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.4, pp. 2267-2270, May 1996. [21] O. Tasdizen and I. Hamzaoglu, 'Computation Reduction Techniques for Vector Median Filtering and their Hardware Implementation,' The 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools (DSD), pp.731-736, Sep. 2010. [22] H.-C. Chang, C.-C. Lin, and J.-I. Guo, 'A Novel Low-Cost High-Performance VLSI Architecture for MPEG-4 AVC/H.264 CAVLC Decoding,' IEEE International Symposium on Circuits and Systems, vol.6, pp. 6110-6113, May 2005. [23] K.-H. Chen, J.-I. Guo, and J.-S. Wang, 'A High-Performance Direct 2-D Transform Coding IP Design for MPEG-4AVC/H.264,' IEEE Trans. on Circuits and Systems for Video Technology, vol.16, no.4, pp. 472-483, April 2006. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/5299 | - |
dc.description.abstract | 在傳統視訊編碼中有許多標準化的視訊編碼格式,像是動態影像專家組(Moving Picture Experts Group)提出的MPEG格式、國際電信聯盟電信標準化部門提出的H.26X格式等等,這些傳統視訊編碼的特點是盡量讓編碼器探索冗餘的時間和空間資訊,也就是使用影格內編碼或影隔間編碼來壓縮視訊,在這樣架構下的編碼器負擔很大。但是傳統的視訊編碼不適用於只擁有低運算複雜度的編碼器或考量到低功耗的編碼器,像是無線視訊感測器或監視系統,分散式視訊編碼技術因此被提出,分散式視訊編碼的根本以Slepian-Wolf理論和Wyner-Ziv理論為基礎。
在此論文中,我們設計並實現一個分散式視訊解碼器,提出的架構包含累積低密度奇偶檢查碼解碼器、相關雜訊模型、軟輸入計算、邊資訊產生,實作採用TSMC 90nm GUTM製程完成分散式視訊解碼器,針對QCIF大小的測試序列可解碼達到每秒30張的影像,此晶片工作頻率可達到100MHz,使用的邏輯閘數目為690K,晶片大小為4.67 mm2。 | zh_TW |
dc.description.abstract | In conventional video coding, lots of coding techniques were proposed to exploit redundancy of the spatial and temporal signals in the encoder. These coding techniques are focused on compressing video data as high as possible, such as MEPG (Moving Picture Experts Group) and H.26X proposed by International Telecommunication Union. These conventional techniques tried to extremely reduce spatial and temporal redundancies, so all the computing efforts were majorly spent on the encoder. Conventional video coding is not suitable for the situations where little encoders and big decoders are used, like wireless video sensors that have a low computing capability and need a low power consumption. To meet the requirement of a low-complexity and low-power encoder, a new video coding paradigm, distributed video coding, based on Slepian-Wolf Theorem and Wyner-Ziv Theorem, was proposed.
In this Thesis, we design and implement a distributed video decoder which is majorly composed of LDPCA, correlation noise modeling, soft input computation, and side information creation. Our proposed DVC decoder, implemented in TSMC 90nm GUTM process technology, can meet the requirement of decoding a QCIF video with a speed of 30fps. The maximum operation frequency is 100MHz, the chip area is 4.67 mm2, and gate count is 690K. | en |
dc.description.provenance | Made available in DSpace on 2021-05-15T17:55:23Z (GMT). No. of bitstreams: 1 ntu-103-R01943090-1.pdf: 2216925 bytes, checksum: a313592a70c0180b08d45ff9b921c2bd (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | TABLE OF CONTENTS
ABSTRACT i LIST OF FIGURES v LIST OF TABLES vii CHAPTER 1 INTRODUCTION 1 1.1 Splepian-Wolf Theorem and Wyner-Ziv Theorem 1 1.2 Wyner-Ziv Coder 3 1.3 Distributed Video Coding 5 1.4 Motivation 6 1.5 Thesis Organization 7 CHAPTER 2 OVERVIEW OF DISTRIBUTED VIDEO CODING 9 2.1 First Practical DVC 9 2.2 DISCOVER DVC 11 2.3 Hybrid DVC 15 CHAPTER 3 PROPOSED ARCHITECTURE AND IMPLEMENTATION 21 3.1 Proposed Architecture of DVC 21 3.2 LDPCA Decoder 25 3.3 Side Information Creation 38 3.3.1 Spatial Motion Smoothing 39 3.3.2 BiDirectional Motion Compensation 44 3.3.3 Interpolation 46 3.4 CAVLC Decoder 47 3.5 DCT, IDCT, Quantization, and De-Quantization 49 3.6 Correlation Noise Modeling and Soft Input Computation 52 3.7 Reconstruction 53 CHAPTER 4 EXPERIMENT RESULTS 55 4.1 Design Flow 55 4.2 Testing Consideration 56 4.3 Chip Implementation Result 59 4.4 Simulation Results 60 CHAPTER 5 CONCLUSION 65 REFERENCE 67 | |
dc.language.iso | en | |
dc.title | 分散式視訊解碼器之設計與實現 | zh_TW |
dc.title | Design and Implementation of a Distributed Video Decoder | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 吳安宇,簡韶逸,游竹 | |
dc.subject.keyword | 分散式視訊解碼器,累積低密度同位檢查碼解碼器,邊資訊產生, | zh_TW |
dc.subject.keyword | Distributed Video Decoder,LDPCA Decoder,Side Information Creation, | en |
dc.relation.page | 69 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2014-11-12 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電子工程學研究所 | zh_TW |
顯示於系所單位: | 電子工程學研究所 |
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