ICIP 2006, Atlanta, GA

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Paper Detail

Session:Error Resilience
Time:Monday, October 9, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Communications: Error resilience / concealment
Authors: Shuai Wan; Queen Mary, University of London 
 Ebroul Izquierdo; Queen Mary, University of London 
 Fuzheng Yang; Xidian University 
 Yilin Chang; Xidian University 
Abstract: An end-to-end rate-distortion optimized motion estimation method for robust video coding in lossy networks is proposed. In this method the expected reconstructed distortion after transmission and the total bit rate for displaced frame difference are estimated at the encoder. This process is based on a recursive optimal per-pixel estimation algorithm. The results are fed into the Lagrangian optimization at the encoder to perform motion estimation. Here the encoder automatically finds an optimized motion compensated prediction by estimating the best trade off between coding efficiency and end-to-end distortion. Computer simulations in lossy channel environments were conducted to assess the performance of the proposed method. A comparative evaluation using other conventional techniques from the literature was also conducted.