Decoding of 3D multi-view video coded bit-streams that are transmitted over noisy channels can suffer from error propagation in the space, time and view domains. To improve the quality of reconstructed 3D video, we propose adaptive Error Concealment (EC) algorithms to conceal the erroneous blocks of intra-coded and inter-coded frames. Our proposed algorithms adapt to the motion characteristics ...

Several shape error concealment techniques for objectbased video have already been proposed in the literature. These techniques, however, are either spatial or temporal, in the sense that only information from one of these domains is considered during the concealment process. While spatial error concealment techniques only use spatially adjacent shape information to perform the concealment, tem...

This paper presents a new, classification-based spatial error concealment algorithm for images. The proposed scheme takes advantage of two state-of-the-art concealment schemes and adaptively selects the best suitable concealment scheme for each corrupted block. Using a simple classification scheme via SVM, our proposed approach outperforms the prior art in terms of the concealment quality and h...

In video streaming there is a problem of packet-loss during signal transmission. Because of this fact the quality of the video could be highly distorted. Different error concealment schemes are used at the decoder side or even after decoding process to fight this. In this paper a new spatio-temporal error concealment scheme with low computational complexity and high visual and objective quality...

An efficient error concealment algorithm for multi-view video sequences is proposed in this work. First, we develop three concealment modes: temporal bilateral error concealment (TBEC), inter-view bilateral error concealment (IBEC), and multi-hypothesis error concealment (MHEC). TBEC and IBEC, respectively, exploit intra-view and inter-view correlations in multi-view video sequences to reconstr...

In an error-prone transmission environment, error concealment is an effective technique to reconstruct the damaged visual content. Due to large variations of image characteristics, different concealment approaches are necessary to accommodate the different nature of the lost image content. In this paper, we address this issue and propose using classification to integrate the state-of-theart err...