| Paper: | MP-L1.7 |
| Session: | Distributed Source Coding I: Low Complexity Video Coding |
| Time: | Monday, September 17, 16:50 - 17:10 |
| Presentation: |
Special Session Lecture
|
| Title: |
COMPLEXITY-RATE-DISTORTION ANALYSIS OF BACKWARD CHANNEL AWARE WYNER-ZIV VIDEO CODING |
| Authors: |
Limin Liu; Purdue University | | |
| | Zhen Li; Thomson | | |
| | Edward Delp; Purdue University | | |
| Abstract: |
Many Wyner-Ziv video coding (WZVC) schemes encode a video sequence into two types of frames, key frames and Wyner-Ziv frames. Key frames are encoded using conventional video coding methods and Wyner-Ziv frames are encoded using channel coding techniques. The decoder derives side information from the reconstructed key frames to decode the Wyner-Ziv frames. We have previously presented a Wyner-Ziv scheme that uses backward channel aware motion estimation to encode the key frames, where motion estimation was performed at the decoder and motion information was sent back to the encoder. We refer to these backward predictively coded frames as BP frames. In this paper, we extend our previous work and propose three types of motion estimators. A model is presented to examine the complexity-rate-distortion performance of BP frames for the three motion estimators. |
