Fast and Robust Smoothing Based Estimation of Missing Data for Video Error Concealment

Abstract

With advancement of wireless technology, every handheld device supports video streaming. Generally, in video transmission technology, user datagram protocol (UDP) is used which does not provide guaranteed quality of service (QoS). Therefore, there is demand for video post processing modules for error concealments. However, handheld devices impose two additional constraints on post processing modules, a) Fast processing algorithms to satisfy video latency requirements b) Low power requirements as devices are limited on battery power supply. Hence, we require a fast, robust and simple algorithm for error concealment. In this paper we propose such algorithm to recover lost block of data in video. The proposed algorithm is based on discrete cosine transform (DCT). DCT can be implemented completely in fixed point format and hence it speeds up operation also saves power as the number of instructions are less. In this algorithm we carry out an automatic estimation of required smoothing. An iteratively weighted algorithm is proposed to deal with missing data. The proposed algorithm is very fast, robust and requires low storage, thus satisfying requirements of many handheld devices. Experiments are carried with different YUV streams. The experimental results show improvements in PSNR as well as visual quality.