Title :
Adaptive Error Concealment With Radial Basis Neuro-Fuzzy Networks For Video Communication over Lossy Channels
Author :
Shahriari, A. ; Fernando, W.A.C. ; Arachchi, H. Kodikara
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge
Abstract :
Error is inevitable in data trans-receiving over communication channels and its concealment is indispensable for standard codecs to enhance their quality of services. In recently standard video codecs, error resilience is based on absolute spatial and temporal approaches being applied uniformly for several types of video sequences. In this paper, an adaptive error concealment method based on radial basis neuro-fuzzy networks is proposed. Simulation results show that the proposed algorithm can gain up to 5 dB compared to the standard median algorithm
Keywords :
image sequences; quality of service; radial basis function networks; telecommunication channels; video codecs; video coding; video communication; adaptive error concealment method; communication channels; data trans-receiving; error resilience; quality of services; radial basis neuro-fuzzy networks; video codecs; video sequences; Code standards; Fuzzy neural networks; Information systems; Interpolation; Resilience; Satellite broadcasting; Streaming media; Video coding; Video sequences; Videoconference;
Conference_Titel :
Industrial and Information Systems, First International Conference on
Conference_Location :
Peradeniya
Print_ISBN :
1-4244-0322-7
DOI :
10.1109/ICIIS.2006.365799
