An enhanced reconstruction algorithm for unidirectional Distributed Video Coding

Distributed Video Coding (DVC) is an emerging video coding technology that utilizes the distributed source coding principles to build very low cost video encoders, yet with remarkable error resilience. In the common DVC framework, the reconstruction function plays a vital role that has a direct impact on the output video quality. In this paper, a novel algorithm is proposed for the reconstruction function, particularly focusing on the unidirectional DVC architecture. The proposed technique exploits the variations of the bit error rate of the Wyner-Ziv decoded bit stream and the side information stream. The simulation results show that the proposed algorithm yields a significant improvement of the objective and subjective video quality at no additional bit rate cost

Distributed video coding of Wyner-ziv frames using trellis coded modulation

Distributed Video Coding (DVC) is known as an emerging video coding technique, which primarily has a modified complexity balance in the encoder and decoder, in contrast to its traditional competitors. In DVC, we have a very simple low cost encoder which is an ideal feature for applications involving a large number of video capturing points located remotely and a centralized shared decoder. In this paper, we introduce a novel approach for DVC, using Turbo Trellis Coded Modulation (TTCM) to generate the parity information at the encoder to be sent over the channel and then to decode the parity with the side information at the decoder. The side information is generated using key frames passed to the decoder by the use of a pixel interpolation technique. TCM symbols are formed using the side information and the parity bit stream which are fed to the TTCM decoder. The decoded output is used to reconstruct the final video sequence. The results are compared with a turbo coding based DVC and it is evident that the proposed method outperforms its turbo code based counterpart by a significant margin