Multiple-description video coding using motion-compensated temporal prediction

• Published in: IEEE transactions on circuits and systems for video technology Vol. 12; no. 3; pp. 193 - 204
• Main Authors: Reibman, A.R., Jafarkhani, H., Yao Wang, Orchard, M.T., Puri, R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.03.2002; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Bit rate; Circuits; Coders; Coding; Coding, codes; Computer simulation; Decoders; Encoders; Exact sciences and technology; Image coding; Information theory; Information, signal and communications theory; Iterative decoding; Performance loss; Signal and communications theory; Speech coding; Streaming media; Telecommunications and information theory; Temporal logic; Transform coding; Transforms; Vector quantization; Video coding; Video coding; Performance evaluation; Simulation; Coding circuit; Transform coding; Signal processing; Motion compensation; Signal reconstruction; Algorithm; Mismatching
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/76.993440

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.