Computer graphics (2nd ed. in C): principles and practice
Computer graphics (2nd ed. in C): principles and practice
Journal of Visual Communication and Image Representation
Error-concealment algorithm for H.26L using first-order plane estimation
IEEE Transactions on Multimedia
Error concealment for MPEG video transmissions
IEEE Transactions on Consumer Electronics
IEEE Transactions on Image Processing
An error detection and recovery algorithm for compressed video signal using source level redundancy
IEEE Transactions on Image Processing
Error concealment of lost motion vectors with overlapped motion compensation
IEEE Transactions on Circuits and Systems for Video Technology
Detection and concealment of transmission errors in H.261 images
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Detection and concealment of transmission errors in MPEG-2 images-a genetic algorithm approach
IEEE Transactions on Circuits and Systems for Video Technology
Recovery of corrupted image data based on the NURBS interpolation
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-2 error concealment based on block-matching principles
IEEE Transactions on Circuits and Systems for Video Technology
A cell-loss concealment technique for MPEG-2 coded video
IEEE Transactions on Circuits and Systems for Video Technology
Temporal error concealment algorithm by recursive block-matching principle
IEEE Transactions on Circuits and Systems for Video Technology
Coding and cell-loss recovery in DCT-based packet video
IEEE Transactions on Circuits and Systems for Video Technology
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Video transmission plays an important role in multimedia communication. Due to transmission error; robust video transmission has become increasingly important in providing better quality of services. Based on our proposed novel adaptive estimation scheme, this paper presents an efficient hybrid error concealment algorithm for robust video transmission. Using the information of neighboring macroblocks (MBs) of the corrupted MBs, the corrupted MBs are first classified into three types. According to the type of the corrupted MB, our proposed adaptive estimation scheme could adopt the Bezier surface estimation, the first-order plane estimation, or the centroid of major cluster estimation to conceal the corrupted MB efficiently. Based on six testing video sequences, experimental results demonstrate that our proposed hybrid error concealment algorithm can improve the video quality and the execution-time performance over different loss rates.