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Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3221977
Abstract: In this paper, we design a new class of high-efficiency deep joint source-channel coding methods to achieve end-to-end video transmission over wireless channels. The proposed methods exploit nonlinear transform and conditional coding architecture to adaptively…
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Keywords:
semantic transmission;
deep video;
video semantic;
transmission ... See more keywords
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Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2960084
Abstract: Several groups worldwide are currently investigating how deep learning may advance the state-of-the-art in image and video coding. An open question is how to make deep neural networks work in conjunction with existing (and upcoming)…
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Keywords:
video;
deep video;
265 hevc;
neural networks ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3137019
Abstract: Blurring in videos is a frequent phenomenon in real-world video data owing to camera shake or object movement at different scene depths. Hence, video deblurring is an ill-posed problem that requires understanding of geometric and…
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Keywords:
information;
deep video;
geometry;
model ... See more keywords
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Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2958083
Abstract: Video inpainting aims to fill in spatio-temporal holes in videos with plausible content. Despite tremendous progress on deep learning-based inpainting of a single image, it is still challenging to extend these methods to video domain…
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Keywords:
video;
deep video;
recurrent temporal;
video inpainting ... See more keywords