Performance evaluation of maximum likelihood decoding combined with error resilient video coding

Abstract

Abstract-In this work, we study the performance of the maximum likelihood decoding (MLD) approach in error-resilient video sequences to establish the performance improvement of this method compared to well-known error concealment approaches. In particular, we consider various interactions between error resilience coding and error concealment/correction. The error resilience methods under consideration include random intra macroblock updating and weighted error resilience. For error concealment/correction, we consider (i) the frame copy (FC), (ii) spatio-temporal boundary matching error concealments (STBMA), and (iii) MLD error correction. Our experimental results show that the best performance is achieved when the MLD interacts with weighted error resilience. Together, they yield, on average, about a 2 dB gain over using FC error concealment with weighted error resilience and a 1 dB gain over STBMA with identical error resilience. Furthermore, MLD with error resilience can be more than 10 dB better than FC without error resilience in certain cases.