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Projects (or Lab News) |
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Implementation of a Distributed Video Coding System | ||
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Date: | 15/08/2011 10:38 | |
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In association with: | SIPL | |
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Supervisor: | Rami Cohen | |
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Students: | TBD | |
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Background: In today's digital video coding paradigm, as standardized by MPEG or the ITU-T H.26x recommendations, the encoder exploits the statistics of the source signal. This results in high-complexity encoder and low-complexity decoder. With the recent wide deployment of low-power multimedia sensor, wireless cameras and mobile camera phones, this traditional video coding architecture is being challenged, since such devices require low-power and low-complexity encoder devices. Surprisingly, it has been shown that efficient compression can also be achieved by exploiting source statistics - partially or wholly - at the decoder only. This insight is based on information-theoretic bounds from the 1970s, obtained by Slepian and Wolf for distributed lossless coding and by Wyner and Ziv for lossy coding with decoder side information. This compression method is generally referred to as Distributed Video Coding (DVC) or Wyner-Ziv (WZ) Coding, and it is highly related to channel coding techniques. |
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Definition: In this project we will investigate some of the common approaches used for DVC, where we will focus on several interpolation and extrapolation methods. Moreover, we will investigate ways to model the noise (between the interpolated/extrapolated version - available at the decoder - and the original version, which is available at the encoder) at the decoder, adaptively.
משך: חד-סמסטריאלי, ניתן להרחבה סביבת עבודה: MATLAB קדם: מבוא לעיבוד ספרתי של אותות רצוי: מערכות לומדות 046195 (או קורס מקביל) וכן קידוד ערוץ 046205 קדם לסטודנטים ממדעי המחשב: עיבוד אותות ותמונות במחשב |
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