Abstract:

Wyner-Ziv video coding is a typical distributed video coding paradigm. Current solutions in the literature perform rate control at the decoder by making use of the feedback channel (FC), and this will definitely cause huge complexity for decoding and constrain its application. Based on analyzing the impact that different motion activity would have on video coding rate, an effective rate control algorithm is proposed by utilizing the correlation noise statistical model, characteristic of feedback channel and temporal correlation. First, the encoder estimates the minimal number of rate chunks, then adjust minimal rate chunks according to the average number of requests and temporal correlation among coefficient bands. Then it would be easily to obtain suitable initial rate chunks, and consequently control the requesting times and complexity of decoder. Experimental results showed that this algorithm greatly reduce decoding complexity than others which have nearly the same coding efficiency.

Key words: DVC, Wyner-Ziv video coding, rate control, correlation noise statistics model