Low-complexity temporal error concealment by motion vector processing for mobile video applications

In this paper, we propose a novel motion vector processing (MVP) approach for temporal error concealment (TEC) in mobile video applications. Most existing TEC techniques estimate the lost motion vectors by minimizing a given distortion such as boundary variation or neighbor matching in pixel domain, which requires high power consumption compared to approaches that do not use pixel information. In wireless video applications, power consumption is a crucial factor and adoption of video postprocessing algorithms by mobile devices depends greatly on the complexity of the algorithms. The proposed algorithm uses only the received motion vectors without pixel data in the concealment process which achieves concealed video quality comparable to that of pixel domain approach but at much lower computational complexity. The performance gain is achieved by using new motion vector processing approaches that include (i) frame-to- frame motion detection, (ii) local motion classification and (iii) motion trajectory tracking. Furthermore, the proposed MVP-TEC approach provides better video quality compared to other TEC methods that do not perform motion analysis.