Title :
Multiple-description video coding using motion-compensated temporal prediction
Author :
Reibman, Amy R. ; Jafarkhani, Hamid ; Wang, Yao ; Orchard, Michael T. ; Puri, Rohit
Author_Institution :
AT&T Labs-Research, Florham Park, NJ, USA
fDate :
3/1/2002 12:00:00 AM
Abstract :
We propose multiple description (MD) video coders which use motion-compensated predictions. Our MD video coders utilize MD transform coding and three separate prediction paths at the encoder to mimic the three possible scenarios at the decoder: both descriptions received or either of the single descriptions received. We provide three different algorithms to control the mismatch between the prediction loops at the encoder and decoder. We present simulation results comparing the three approaches to two standards-based approaches to MD video coding. We show that when the main prediction loop at the encoder uses a two-channel reconstruction, it is important to have side prediction loops and transmit some redundancy information to control mismatch. We also examine the performance of our MD video coder with partial mismatch control in the presence of random packet loss, and demonstrate a significant improvement compared to more traditional approaches
Keywords :
correlation methods; discrete cosine transforms; image reconstruction; image sequences; motion compensation; prediction theory; source coding; transform coding; video coding; DCT; decoder; high-quality reconstruction; motion-compensated temporal prediction; multiple-description video coding; pairwise correlating transform; prediction loops; random packet loss; redundancy information transmission; simulation results; source coding; standards-based approaches; transform coding; two-channel reconstruction; Bit rate; Image coding; Information theory; Iterative decoding; Performance loss; Speech coding; Streaming media; Transform coding; Vector quantization; Video coding;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on