Learning adaptive motion search for fast versatile video coding in visual surveillance systems Article Swipe
Huong Bui Thanh
,
Sang Quang Nguyen
,
Tien Vu Huu
,
Xiem HoangVan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.13001
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.13001
Visual surveillance systems have been playing an important role in monitoring and managing at public areas. However, the computational complexity of video compression in these applications is still a great challenge. To meet practical requirements, the authors propose in this paper a low‐complexity surveillance video coding solution in which the most recent Versatile Video Coding (VVC) standard is improved with a novel learning adaptive motion search algorithm. The proposed algorithm is designed based on the temporal motion and spatial texture characteristics of surveillance videos. First, the authors study and define a list of spatial and temporal features which indicates the motion and texture characteristics of surveillance video. These features are used together with a machine learning algorithm to appropriately assign a search range for the VVC motion search. Second, to reduce search points, the authors propose an adaptive Test Zone (TZ) search in which TZ steps are early terminated following the variation of spatial–temporal features. Performance evaluation conducted for a rich set of surveillance videos and relevant benchmarks have shown the superiority of the proposed method, notably with around 33% of encoding time saving when compared with the state‐of‐the art VVC solution and relevant benchmarks while asking for negligible compression loss.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ipr2.13001
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13001
- OA Status
- gold
- Cited By
- 6
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388990725
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388990725Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ipr2.13001Digital Object Identifier
- Title
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Learning adaptive motion search for fast versatile video coding in visual surveillance systemsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-24Full publication date if available
- Authors
-
Huong Bui Thanh, Sang Quang Nguyen, Tien Vu Huu, Xiem HoangVanList of authors in order
- Landing page
-
https://doi.org/10.1049/ipr2.13001Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13001Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.13001Direct OA link when available
- Concepts
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Computer science, Coding (social sciences), Computer vision, Artificial intelligence, Data compression, Motion compensation, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2024: 6Per-year citation counts (last 5 years)
- References (count)
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28Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.video. | 107 |
| abstract_inverted_index.videos | 165 |
| abstract_inverted_index.Second, | 129 |
| abstract_inverted_index.authors | 37, 87, 135 |
| abstract_inverted_index.machine | 115 |
| abstract_inverted_index.method, | 176 |
| abstract_inverted_index.notably | 177 |
| abstract_inverted_index.playing | 6 |
| abstract_inverted_index.points, | 133 |
| abstract_inverted_index.propose | 38, 136 |
| abstract_inverted_index.search. | 128 |
| abstract_inverted_index.spatial | 79, 94 |
| abstract_inverted_index.systems | 3 |
| abstract_inverted_index.texture | 80, 103 |
| abstract_inverted_index.videos. | 84 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 17 |
| abstract_inverted_index.adaptive | 64, 138 |
| abstract_inverted_index.compared | 186 |
| abstract_inverted_index.designed | 72 |
| abstract_inverted_index.encoding | 182 |
| abstract_inverted_index.features | 97, 109 |
| abstract_inverted_index.improved | 59 |
| abstract_inverted_index.learning | 63, 116 |
| abstract_inverted_index.managing | 13 |
| abstract_inverted_index.proposed | 69, 175 |
| abstract_inverted_index.relevant | 167, 194 |
| abstract_inverted_index.solution | 47, 192 |
| abstract_inverted_index.standard | 57 |
| abstract_inverted_index.temporal | 76, 96 |
| abstract_inverted_index.together | 112 |
| abstract_inverted_index.Versatile | 53 |
| abstract_inverted_index.algorithm | 70, 117 |
| abstract_inverted_index.conducted | 158 |
| abstract_inverted_index.features. | 155 |
| abstract_inverted_index.following | 150 |
| abstract_inverted_index.important | 8 |
| abstract_inverted_index.indicates | 99 |
| abstract_inverted_index.practical | 34 |
| abstract_inverted_index.variation | 152 |
| abstract_inverted_index.algorithm. | 67 |
| abstract_inverted_index.benchmarks | 168, 195 |
| abstract_inverted_index.challenge. | 31 |
| abstract_inverted_index.complexity | 20 |
| abstract_inverted_index.evaluation | 157 |
| abstract_inverted_index.monitoring | 11 |
| abstract_inverted_index.negligible | 199 |
| abstract_inverted_index.terminated | 149 |
| abstract_inverted_index.Performance | 156 |
| abstract_inverted_index.compression | 23, 200 |
| abstract_inverted_index.superiority | 172 |
| abstract_inverted_index.applications | 26 |
| abstract_inverted_index.surveillance | 2, 44, 83, 106, 164 |
| abstract_inverted_index.appropriately | 119 |
| abstract_inverted_index.computational | 19 |
| abstract_inverted_index.requirements, | 35 |
| abstract_inverted_index.characteristics | 81, 104 |
| abstract_inverted_index.low‐complexity | 43 |
| abstract_inverted_index.state‐of‐the | 189 |
| abstract_inverted_index.spatial–temporal | 154 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.83508036 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |