Indicator analysis of integrated models.

<div><p>In order to reduce the encoding complexity and stream size, improve the encoding performance and further improve the compression performance, the depth prediction partition encoding is studied in this paper. In terms of pattern selection strategy, optimization analysis is carried...

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Main Author: Hui Yang (91136) (author)
Other Authors: Qiuming Liu (1575793) (author), Chao Song (379006) (author)
Published: 2024
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author Hui Yang (91136)
author2 Qiuming Liu (1575793)
Chao Song (379006)
author2_role author
author
author_facet Hui Yang (91136)
Qiuming Liu (1575793)
Chao Song (379006)
author_role author
dc.creator.none.fl_str_mv Hui Yang (91136)
Qiuming Liu (1575793)
Chao Song (379006)
dc.date.none.fl_str_mv 2024-09-25T17:27:44Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0310904.t004
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Indicator_analysis_of_integrated_models_/27104789
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
quality loss detected
maintaining video quality
fast strategic decision
depth range prediction
pattern selection strategy
average reconstruction quality
adaptive qp algorithm
video encoding quality
output stream size
improve encoding efficiency
stream size
encoding output
strategy achieved
average reduction
adaptive strategies
encoding performance
encoding complexity
xlink ">
user attention
thereby managing
significant improvements
results showed
polar regions
optimization analysis
optimal balance
maximum reduction
making methods
different levels
data processing
compression performance
bit rate
76 %.
28 %,
dc.title.none.fl_str_mv Indicator analysis of integrated models.
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <div><p>In order to reduce the encoding complexity and stream size, improve the encoding performance and further improve the compression performance, the depth prediction partition encoding is studied in this paper. In terms of pattern selection strategy, optimization analysis is carried out based on fast strategic decision-making methods to ensure the comprehensiveness of data processing. In the design of adaptive strategies, different adaptive quantization parameter adjustment strategies are adopted for the equatorial and polar regions by considering the different levels of user attention in 360 degree virtual reality videos. The purpose is to achieve the optimal balance between distortion and stream size, thereby managing the output stream size while maintaining video quality. The results showed that this strategy achieved a maximum reduction of 2.92% in bit rate and an average reduction of 1.76%. The average coding time could be saved by 39.28%, and the average reconstruction quality was 0.043, with almost no quality loss detected by the audience. At the same time, the model demonstrated excellent performance in sequences of 4K, 6K, and 8K. The proposed deep partitioning adaptive strategy has significant improvements in video encoding quality and efficiency, which can improve encoding efficiency while ensuring video quality.</p></div>
eu_rights_str_mv openAccess
id Manara_bde63ae2b8b7445ef36e90fb40c9352d
identifier_str_mv 10.1371/journal.pone.0310904.t004
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/27104789
publishDate 2024
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Indicator analysis of integrated models.Hui Yang (91136)Qiuming Liu (1575793)Chao Song (379006)Science PolicySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedquality loss detectedmaintaining video qualityfast strategic decisiondepth range predictionpattern selection strategyaverage reconstruction qualityadaptive qp algorithmvideo encoding qualityoutput stream sizeimprove encoding efficiencystream sizeencoding outputstrategy achievedaverage reductionadaptive strategiesencoding performanceencoding complexityxlink ">user attentionthereby managingsignificant improvementsresults showedpolar regionsoptimization analysisoptimal balancemaximum reductionmaking methodsdifferent levelsdata processingcompression performancebit rate76 %.28 %,<div><p>In order to reduce the encoding complexity and stream size, improve the encoding performance and further improve the compression performance, the depth prediction partition encoding is studied in this paper. In terms of pattern selection strategy, optimization analysis is carried out based on fast strategic decision-making methods to ensure the comprehensiveness of data processing. In the design of adaptive strategies, different adaptive quantization parameter adjustment strategies are adopted for the equatorial and polar regions by considering the different levels of user attention in 360 degree virtual reality videos. The purpose is to achieve the optimal balance between distortion and stream size, thereby managing the output stream size while maintaining video quality. The results showed that this strategy achieved a maximum reduction of 2.92% in bit rate and an average reduction of 1.76%. The average coding time could be saved by 39.28%, and the average reconstruction quality was 0.043, with almost no quality loss detected by the audience. At the same time, the model demonstrated excellent performance in sequences of 4K, 6K, and 8K. The proposed deep partitioning adaptive strategy has significant improvements in video encoding quality and efficiency, which can improve encoding efficiency while ensuring video quality.</p></div>2024-09-25T17:27:44ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0310904.t004https://figshare.com/articles/dataset/Indicator_analysis_of_integrated_models_/27104789CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/271047892024-09-25T17:27:44Z
spellingShingle Indicator analysis of integrated models.
Hui Yang (91136)
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
quality loss detected
maintaining video quality
fast strategic decision
depth range prediction
pattern selection strategy
average reconstruction quality
adaptive qp algorithm
video encoding quality
output stream size
improve encoding efficiency
stream size
encoding output
strategy achieved
average reduction
adaptive strategies
encoding performance
encoding complexity
xlink ">
user attention
thereby managing
significant improvements
results showed
polar regions
optimization analysis
optimal balance
maximum reduction
making methods
different levels
data processing
compression performance
bit rate
76 %.
28 %,
status_str publishedVersion
title Indicator analysis of integrated models.
title_full Indicator analysis of integrated models.
title_fullStr Indicator analysis of integrated models.
title_full_unstemmed Indicator analysis of integrated models.
title_short Indicator analysis of integrated models.
title_sort Indicator analysis of integrated models.
topic Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
quality loss detected
maintaining video quality
fast strategic decision
depth range prediction
pattern selection strategy
average reconstruction quality
adaptive qp algorithm
video encoding quality
output stream size
improve encoding efficiency
stream size
encoding output
strategy achieved
average reduction
adaptive strategies
encoding performance
encoding complexity
xlink ">
user attention
thereby managing
significant improvements
results showed
polar regions
optimization analysis
optimal balance
maximum reduction
making methods
different levels
data processing
compression performance
bit rate
76 %.
28 %,