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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 簡韶逸(Shao-Yi Chien) | |
| dc.contributor.author | Hsin-Fang Wu | en |
| dc.contributor.author | 吳昕芳 | zh_TW |
| dc.date.accessioned | 2021-06-08T00:18:47Z | - |
| dc.date.copyright | 2013-07-30 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-07-26 | |
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Frater, “A cell-loss concealment technique for coded video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 4, pp. 659 –665, June 2000. [27] T. Thaipanich, P. H. Wu, and J. C. C. Kuo, “Video error concealment with outer and inner boundary matching algorithms,” in Proc. SPIE, Aug. 2007, pp. 669607– 669607. [28] K. P. Lim, G. Sullivan, and T. Wiegand, “Text description of joint model reference encoding methods and decoding concealment methods,” Joint Video Team Document JVT-O079, Apr. 2005. [29] Hsin-Min Chen, Pei-Kuei Tsung, Chia-Han Lee, Shao-Yi Chien, Yen-Kuang Chen, and V.Srinivasa Somayazulu, “Packetization and transmission of distributed video coding over wireless networks,” working paper. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/17529 | - |
| dc.description.abstract | Low-power and low-cost distributed wireless video sensors play important roles for applications in machine-to-machine (M2M) and wireless sensor networks. Conventional video coding standards consume large power consumption at the encoder side.This kind of video coding systems do not meet the requirements of M2M or wireless sensor networks, where the hardware resources of the sensor nodes are limited. On the other hand, Distributed video coding (DVC) based on Slepian-Wolf and Wyner-Ziv theories provides a promising solution for implementing low-power and low-cost distributed wireless video sensors since most of the computation load is moved from the encoder to the decoder.
For lossy channels in the real-world environment, the error resilience schemes against packet loss for conventional video coding have been extensively studied. However, for DVC, the effect of packet loss and the error resilience scheme has not been fully investigated. In this thesis, the effect of packet loss is analyzed, and the error resilience schemes for DVC are then developed. Since the two types of frames in DVC, Key frames and Wyner-Ziv frames, have different characteristics, we discuss the effect of packet loss over key frame channels and Wyner-Ziv channels, respectively. For lossy key frame channels, three resilience schemes can achieve a PSNR gain of 2 to 8 dB compared to the baseline. In addition, the proposed hybrid mode can select mode successfully to achieve better rate distortion performance. For lossy Wyner-Ziv frame channels, two error protection schemes, forward error protection and additional source packets are applied to Wyner-Ziv packets. The experiments show that these two schemes are not effective, since the Wyner-Ziv packets inherently have good error resilience ability under the DVC architecture with iterative requests. For the condition that key channels and Wyner-Ziv channels are both lossy, based on the experimental results of rate allocation, we also propose an error resilience scheme for the whole DVC system. The proposed error resilience scheme effectively reduces the PSNR gap between ideal case and baseline and improves around 0.5 dB in PSNR for sequences Hall and News compared with the other two resilience schemes. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T00:18:47Z (GMT). No. of bitstreams: 1 ntu-102-R00943034-1.pdf: 1478604 bytes, checksum: 7f308b4345c9c8480632edcc5d2ef482 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 誌謝. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
中文摘要. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii 英文摘要. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Conventional Video Coding Systems . . . . . . . . . . . . . . . . . . . . 1 1.2 Distributed Video Coding . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.4 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.5 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 Background Knowledge and Relative Work . . . . . . . . . . . . . . . . . . . 7 2.1 The Foundation of Distributed Source Coding . . . . . . . . . . . . . . . 7 2.2 Key Features of Distributed Video Coding . . . . . . . . . . . . . . . . . 9 2.2.1 Frame Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.2 Transform and Quantization . . . . . . . . . . . . . . . . . . . . 10 2.2.3 Encoder Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.4 Channel Coding . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.5 Side Information Creation . . . . . . . . . . . . . . . . . . . . . 12 2.2.6 Correlation Noise Modeling and Soft Input Computation . . . . . 13 2.2.7 Reconstruction and Post-processing . . . . . . . . . . . . . . . . 15 3 Error Resilience Schemes for Key Frames . . . . . . . . . . . . . . . . . . . . 17 3.1 Resend Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 3.2 Refine Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 3.3 Hybrid Mode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3.3.1 Rate Distortion Optimization in conventional video coding . . . . 20 3.3.2 Mode Selection in Hybrid Mode . . . . . . . . . . . . . . . . . . 21 3.4 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 3.4.1 Rate Distortion Performance . . . . . . . . . . . . . . . . . . . . 23 3.4.2 Percentage of Selected Mode in Hybrid Mode . . . . . . . . . . . 31 4 Error Resilience Schemes for Wyner-Ziv Frames . . . . . . . . . . . . . . . . . 43 4.1 Request and Packetization Scheme for Wyner-Ziv Parity Bits . . . . . . . 44 4.1.1 Request Scheme Based on Spatial Correlation . . . . . . . . . . . 45 4.1.2 Request Scheme Based on Temporal Correlation . . . . . . . . . 46 4.1.3 Request Scheme for Wyner-Ziv Frames . . . . . . . . . . . . . . 47 4.1.4 Packetization for Wyner-Ziv Parity Bits . . . . . . . . . . . . . . 47 4.2 Analysis of Error Resilience Schemes for Wyner-Ziv Packets . . . . . . . 51 5 Error Resilience Schemes for Distributed Video Coding over Lossy Channels . 55 5.1 Behavior of Distributed Video Coding under Rate Allocation . . . . . . . 55 5.2 Performance of Error Resilience Schemes for Distributed Video Coding over Lossy Channels . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 6 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 | |
| dc.language.iso | en | |
| dc.title | 分散式視訊編碼在封包遺失通道的錯誤復原機制 | zh_TW |
| dc.title | Error Resilience Scheme for Distributed Video Coding over Lossy Channels | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 李佳翰(Chia-han Lee),林嘉文(Chia-Wen Lin),葉丙成(Ping-Cheng Yeh),陳彥光(Yen-Kuang Chen) | |
| dc.subject.keyword | 分散式視訊編碼,錯誤復原機制, | zh_TW |
| dc.subject.keyword | Distributed Video Coding,Error Resilience Scheme, | en |
| dc.relation.page | 86 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2013-07-26 | |
| 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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