NDLI: Fast-efficient shape error concealment technique based on block classification

Content Provider	IET Digital Library
Author	Hsia, Shih Chang Hsiao, Cheng Hung
Abstract	This study presents a fast-efficient error concealment method for recovering information related to shape. The proposed technique comprises block classification, edge direction interpolation and filtering interpolation. Missing blocks are classified into four categories: transparent, opaque, edge and isolated blocks. Most of the computation is spent on edge blocks and isolated blocks to maximise the cost and performance tradeoff. For the recovery of edge blocks, the edge slope is computed by referring to the nearest available block, from which the missing shape is interpolated parallel to the edge. Isolated blocks are dealt with using a cascade filter to approximate the actual shape. Experimental results show that the proposed method provides better cost performance in the restoration of shapes than that afforded by comparable algorithms, both in numerical parameters and the resulting shapes. The processing speed is approximately two to three times faster than previous methods and low computational load makes the proposed technique applicable to real-time MPEG-4 systems.
Starting Page	693
Ending Page	700
Page Count	8
ISSN	17519659
Volume Number	10
e-ISSN	17519667
Issue Number	Issue 10, Oct (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/10/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.0043
Journal	IET Image Processing
Publisher Date	2016-05-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Block Classification Cascade Filter Computer Vision And Image Processing Technique Edge Blocks Edge Detection Edge Direction Interpolation Fast Efficient Shape Error Concealment Technique Filtering Interpolation Image Classification Image Recognition Interpolation Interpolation And Function Approximation Isolated Blocks MPEG-4 System Numerical Analysis Numerical Parameter Shape Recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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