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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5064-4
Abstract: In this paper, we propose a novel AQ (Adaptive Quantization) algorithm to improve the subjective coding performance. Firstly, the factors affecting a suitable adaptive quantization method are carefully analyzed. Two important conclusions are drawn to…
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Keywords:
adaptive quantization;
method video;
quantization;
method ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2976142
Abstract: In this paper, we propose a perceptual adaptive quantization based on a deep neural network on high efficiency video coding (HEVC) for bitrate reduction while maintaining subjective visual quality. The proposed algorithm adaptively determines frame-level…
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Keywords:
quantization parameter;
selection;
perceptual adaptive;
adaptive quantization ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3554138
Abstract: Federated learning (FL) is a distributed machine learning method where multiple devices collaboratively train a model under the management of a central server without sharing underlying data. One of the key challenges of FL is…
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Keywords:
federated learning;
adaptive quantization;
privacy;
privacy communication ... See more keywords
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Published in 2024 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2024.3519355
Abstract: Federated learning (FL) has been recognized as a viable distributed learning paradigm for training a machine learning model across distributed clients without uploading raw data. However, FL in wireless networks still faces two major challenges,…
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Keywords:
doubly adaptive;
adaptive quantization;
energy;
quantization ... See more keywords
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Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3362793
Abstract: For distributed online optimization over networked nodes, we propose an algorithm based on one-step gradient descent and multi-step consensus under dynamic adaptive quantization. We propose a dynamic difference encoding-decoding strategy with variable center quantizers and…
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Keywords:
adaptive quantization;
distributed online;
quantization;
dynamic adaptive ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0263729
Abstract: Due to the limited storage space of spacecraft and downlink bandwidth in the data delivery during planetary exploration, an efficient way for image compression onboard is essential to reduce the volume of acquired data. Applicable…
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Keywords:
saliency;
quantization;
planetary images;
perceptual adaptive ... See more keywords