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Fuzzy local linear approximation-based sequential design

Author:
van der Herten, J.
,
Deschrijver, D.
,
Dhaene, T.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICME.2014.6890247
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1084609
Keyword(s): quantisation (signal),n video coding,n H.264-AVC,n QP,n R-Q model,n ROI coding,n block complexity,n intracoded frames,n joint content adaptive rate-quantization model,n macroblock complexity,n quantization parameter,n region of interest coding,n video coding,n Adaptation models,n Bit rate,n Complexity theory,n Encoding,n Image coding,n Predictive models,n Video coding,n H.264/AVC,n ROI,n Rate Control,n Rate-Quantization Model
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    Fuzzy local linear approximation-based sequential design

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contributor authorvan der Herten, J.
contributor authorDeschrijver, D.
contributor authorDhaene, T.
date accessioned2020-03-12T22:29:05Z
date available2020-03-12T22:29:05Z
date issued2014
identifier other7011825.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1084609
formatgeneral
languageEnglish
publisherIEEE
titleFuzzy local linear approximation-based sequential design
typeConference Paper
contenttypeMetadata Only
identifier padid8221905
subject keywordsquantisation (signal)
subject keywordsn video coding
subject keywordsn H.264-AVC
subject keywordsn QP
subject keywordsn R-Q model
subject keywordsn ROI coding
subject keywordsn block complexity
subject keywordsn intracoded frames
subject keywordsn joint content adaptive rate-quantization model
subject keywordsn macroblock complexity
subject keywordsn quantization parameter
subject keywordsn region of interest coding
subject keywordsn video coding
subject keywordsn Adaptation models
subject keywordsn Bit rate
subject keywordsn Complexity theory
subject keywordsn Encoding
subject keywordsn Image coding
subject keywordsn Predictive models
subject keywordsn Video coding
subject keywordsn H.264/AVC
subject keywordsn ROI
subject keywordsn Rate Control
subject keywordsn Rate-Quantization Model
identifier doi10.1109/ICME.2014.6890247
journal titleomputational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
filesize652753
citations0
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