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Packet Video Error Concealment With Gaussian Mixture Models
- Source :
- IEEE Transactions on Image Processing. 17:145-154
- Publication Year :
- 2008
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2008.
-
Abstract
- In this paper, Gaussian mixture modeling is applied toerror concealment for block-based packet video. A Gaussian mixture model for video data is obtained offline and is thereafter utilized online in order to restore lost blocks from spatial and temporal surrounding information. We propose estimators on closed form for missing data in the case of varying available neighboring contexts. Our error concealment strategy increases peak signal-to-noise ratio compared to previously proposed schemes. Examples of improved subjective visual quality by means of the proposed method are also supplied. ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Daniel Persson, Thomas Eriksson and Per Hedelin, Packet Video Error Concealment With Gaussian Mixture Models, 2008, IEEE Transactions on Image Processing, (17), 2, 145-154.http://dx.doi.org/10.1109/TIP.2007.914151
- Subjects :
- packet video
Image quality
Computer science
Gaussian
Normal Distribution
Video Recording
Sensitivity and Specificity
video modeling
symbols.namesake
Signal-to-noise ratio
Error concealment
Teknik och teknologier
Image Interpretation, Computer-Assisted
Computer Graphics
Computer vision
Gaussian process
Models, Statistical
Network packet
business.industry
Reproducibility of Results
Estimator
Signal Processing, Computer-Assisted
Video modeling
Data Compression
Image Enhancement
Missing data
Mixture model
Computer Graphics and Computer-Aided Design
Gaussian mixture model (GMM)
symbols
Engineering and Technology
Artificial intelligence
Artifacts
business
Error detection and correction
Algorithm
Algorithms
Software
Subjects
Details
- ISSN :
- 10577149
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Image Processing
- Accession number :
- edsair.doi.dedup.....75105455fc12338988bc69fc33446c31