ERROR CONCEALMENT VIA 3-MODE TENSOR APPROXIMATION

This paper presents a novel video error concealment method, which is essentially a combination of non-local grouping of image patches and low-rank tensor approximation. The proposed method, though does not require the knowledge of Motion Vectors (MVs) as in traditional video concealment techniques such as Boundary Matching Algorithm (BMA) and its derivations, gives striking results in restoration of sequences, especially in the challenging cases when the error rate is high and/or key frames are not available. Our proposed framework can also be customized to deal with single images as well (for example, in image inpainting tasks).