An Efficient Generalized Error Concealment in Video Codec

Abstract

Efficient error concealment (EC) predictor can recover more significant features or structures of entire lost MBs using a pre-transmission algorithm (PTA) with convolutional neural network (CNN) and fuzzy reasoning to select appropriate EC for reconstruction in generalized video-codec compression scheme such as H.264/H.265, etc. Here, the pixel-based motion vector with partition (PMVP) algorithm is modified by using Mahalanobis distance (MD) rather than Euclidean distance (ED) for better MVs recovery. This modified pixel-based motion vector with partition (MPMVP) algorithm is upgraded by two different strategies: one by using voting priority of available MVs based on the probabilities of similar directions and the second by considering separate horizontal and vertical directions of available MVs in voting priority. Similarly, a modified spiral pixel reconstruction (MSPR) algorithm based on directional edge recovery method using minimum and maximum MD from available pixels of surrounding MBs is proposed. The proposed PTA-based modified ECs gives 20.4%, 3.47%, and 6.66% increase in PSNR.