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Gaussian mixture-based generative approach for H.265/HEVC error concealment

descriptionPublicationkeyboard_double_arrow_right Article 26 Dec 2023 English Publisher:Springer Science and Business Media LLCJournal:Signal, Image and Video Processing, volume 18, pages 1,983-1,991 (issn: 1863-1703, eissn: 1863-1711, Copyright policy )
Authors: Ali Radmehr; Ali Aghagolzadeh; Seyed Mehdi Hosseini Andargoli;

doi: 10.1007/s11760-023-02739-0 , 10.5281/zenodo.8001714 , 10.5281/zenodo.7376609 , 10.5281/zenodo.7376608

Gaussian mixture-based generative approach for H.265/HEVC error concealment

Abstract

The dataset generated during the study is presented here, such as statistics and configurations for encoding and decoding. Additionally, each experiment's bitstream is included.

Related Organizations
Keywords

Gaussian Mixture Model, motion vector clustering, Video Error Concealment

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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