Adaptive spatial down-sampling method based on object occupancy distribution for video coding for machines
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Adaptive spatial down-sampling method based on object occupancy distribution for video coding for machines ; volume:2024 ; number:1 ; day:10 ; month:10 ; year:2024 ; pages:1-17 ; date:12.2024
EURASIP journal on image and video processing / European Association for Speech, Signal and Image Processing ; 2024, Heft 1 (10.10.2024), 1-17, 12.2024
- Creator
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An, Eun-bin
Kim, Ayoung
Jung, Soon-heung
Kwak, Sangwoon
Lee, Jin Young
Cheong, Won-Sik
Choo, Hyon-Gon
Seo, Kwang-deok
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13640-024-00647-y
- URN
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urn:nbn:de:101:1-2412272115467.606844512306
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
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Associated
- An, Eun-bin
- Kim, Ayoung
- Jung, Soon-heung
- Kwak, Sangwoon
- Lee, Jin Young
- Cheong, Won-Sik
- Choo, Hyon-Gon
- Seo, Kwang-deok
- SpringerLink (Online service)
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Hypothesis generation for object pose estimation - from local sampling to global reasoning
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Learning sampling-based 6D object pose estimation
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A Gibbs sampler for multi-species occupancy models
Empirical Statistical Model for LTE Downlink Channel Occupancy
Occupancy times for time-dependent stage-structured models
Aspects of object recognition : sampling, invariance, and plasticity
Dynamic multistate occupancy modeling to evaluate population dynamics under a scenario of preferential sampling
Interference-aware spectrum occupancy prediction for cognitive radio networks
Rules for electrical machines
OCCUPANCY MODELLING FOR MOVING OBJECT DETECTION FROM LIDAR POINT CLOUDS: A COMPARATIVE STUDY
Hypothesis generation for object pose estimation - from local sampling to global reasoning
Hypothesis Generation for Object Pose Estimation From local sampling to global reasoning
Learning sampling-based 6D object pose estimation
Learning Sampling-Based 6D Object Pose Estimation
A Gibbs sampler for multi-species occupancy models
Empirical Statistical Model for LTE Downlink Channel Occupancy
Occupancy times for time-dependent stage-structured models
Aspects of object recognition : sampling, invariance, and plasticity
Dynamic multistate occupancy modeling to evaluate population dynamics under a scenario of preferential sampling
Interference-aware spectrum occupancy prediction for cognitive radio networks