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This report outlines advanced quantizer design strategies for Wyner-Ziv distributed video coding presented by Professor Yang Shih-Hsuan and reported by student Li Tong-Zhao. It includes an introduction to distributed video coding principles, the design of quantizers, and simulation results demonstrating the performance of various quantization methods. The study further explores the use of side information to enhance source value distinction and concludes with insights on the efficiency of Wyner-Ziv systems in relation to SPIHT coding rates, along with suggested future work in quantizer implementation.
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Quantizer for Wyner-Ziv System Application 指 導 教 授:楊 士 萱 報 告 學 生:李 桐 照
Outline • Distributed Video Coding Introduction • Quantizer Design • Simulation Result • Future work
Quantizer Design 1/4 Gaussian Scalar Asymmetric Case
Quantizer Design 2/4 Experimental Result
Quantizer Design 3/4 Idea: Side information helps distinguish source values
Quantizer Design 4/4 New Lloyd Algorithm Design of optimal quantizers for distributed source codingRebollo-Monedero, D.; Rui Zhang; Girod, B.;Data Compression Conference, 2003. Proceedings. DCC 200325-27 March 2003
Simulation Result 5/5 • Conclusion:Wyner-Ziv SPIHT 碼率越接近Key Frame SPIHT 碼率時,則採用Wyner-Ziv System 的效益就越高
Future work • 2006/3/6~2006/3/19 Implementation of Quantizer