Paper Info
Title
Spiral-Like Pixel Reconstruction Algorithm for Spatiotemporal Video Error Concealment.
Abstract
This paper proposes efficient error concealment (EC) algorithms that use a spiral-like pixel reconstruction (SPR) scheme on the H.264/AVC joint model simulation platform. The algorithms provide low complexity and high accuracy, and their subjective and objective evaluation results are superior to those of extant EC algorithms. First, edge matching is applied to the boundary of lost macroblocks (MBs). Second, the directional edge group with the highest magnitude is selected and symmetric pixel referencing is performed along its orthogonal symmetry axis. Finally, the lost MBs are estimated using the novel SPR scheme with reference mode selection according to the edge ratio. Experimental results revealed that, compared with the extant edge-oriented PR approaches of EC, the proposed total- and partial-spiral ordering modes in pixel referencing can be used to reconstruct lost MBs, with a desirable decoder peak signal-to-noise ratio and high visual quality.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2789862
IEEE ACCESS
Keywords
Field
DocType
Error concealment,H.264/AVC video coding,pixel reconstruction,spiral-like pixel referencing,video analysis
Iterative reconstruction,Magnitude (mathematics),Spiral,Algorithm design,Computer science,Interpolation,Algorithm,Reconstruction algorithm,Pixel,Decoding methods,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Huang-Chia Shih118721.98
Chiung-Ting Wang200.34
Chung-Lin Huang354037.61