Learning Adaptive Quantization Parameter for Consistent Quality Oriented Video Coding Article Swipe
Tien Vu Huu
,
Minh Ngoc
,
Sang Quang Nguyen
,
Huy Phi Cong
,
Thipphaphone Sisouvong
,
Xiem Van Hoang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202310.1985.v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.20944/preprints202310.1985.v1
In industry 4.0 era, video applications such as surveillance visual systems, video conferencing, or video broadcasting have been playing a vital role. In these applications, for manipulating and tracking objects in decoded video, the quality of decoded video should be consistent because it largely affects to the performance of the machine analysis. To cope with this problem, we propose a novel perceptual video coding (PVC) solution in which a full reference quality metric named Video Multimethod Assessment Fusion (VMAF) is employed together with a deep convolutional neural network (CNN) to obtain the consistent quality while still achieving the high compression performance. First of all, to achieve the consistent quality requirement, we propose a CNN model with an expected VMAF as input to adaptively adjust the quantization parameters (QP) for each coding block. Afterwards, to increase the compression performance, a Lagrange coefficient of Rate-Distortion optimization (RDO) mechanism is adaptively computed under Rate-QP and Quality-QP models. Experimental results show that the proposed PVC has achieved two targets simultaneously: the quality of video sequence is kept consistently with an expected quality level and the bit rate saving of the proposed method is higher than traditional video coding standards and relevant benchmark, notably with around 10% bitrate saving in average.
Related Topics
Concepts
Computer science
Video quality
Rate–distortion optimization
Multiview Video Coding
Quantization (signal processing)
Artificial intelligence
Coding (social sciences)
Convolutional neural network
Data compression
Video compression picture types
Video tracking
Coding tree unit
Computer vision
Real-time computing
Algorithm
Video processing
Metric (unit)
Decoding methods
Mathematics
Economics
Operations management
Statistics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.20944/preprints202310.1985.v1
- https://www.preprints.org/manuscript/202310.1985/v1/download
- OA Status
- green
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388134597
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388134597Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.20944/preprints202310.1985.v1Digital Object Identifier
- Title
-
Learning Adaptive Quantization Parameter for Consistent Quality Oriented Video CodingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-31Full publication date if available
- Authors
-
Tien Vu Huu, Minh Ngoc, Sang Quang Nguyen, Huy Phi Cong, Thipphaphone Sisouvong, Xiem Van HoangList of authors in order
- Landing page
-
https://doi.org/10.20944/preprints202310.1985.v1Publisher landing page
- PDF URL
-
https://www.preprints.org/manuscript/202310.1985/v1/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.preprints.org/manuscript/202310.1985/v1/downloadDirect OA link when available
- Concepts
-
Computer science, Video quality, Rate–distortion optimization, Multiview Video Coding, Quantization (signal processing), Artificial intelligence, Coding (social sciences), Convolutional neural network, Data compression, Video compression picture types, Video tracking, Coding tree unit, Computer vision, Real-time computing, Algorithm, Video processing, Metric (unit), Decoding methods, Mathematics, Economics, Operations management, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.preprints.org/manuscript/202310.1985/v1/download |
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| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
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| publication_date | 2023-10-31 |
| publication_year | 2023 |
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