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Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2889921
Abstract: Median filtering has received extensive attention from forensics analyzers, as a common content-preserving, smoothing, and denoising manipulation. We propose a detection scheme for median filtering of video sequences in compressed domain based on the singular…
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Keywords:
video;
forensics compressed;
median filtering;
filtering forensics ... See more keywords
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Published in 2023 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2022.3208426
Abstract: How to use information from temporal, spatial, and frequency domain dimensions is crucial for the quality enhancement of compressed video. The state-of-the-art methods generally design powerful networks to fuse the spatiotemporal information of the videos.…
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Keywords:
information;
frequency;
omniscient network;
enhancement ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3028479
Abstract: Multihypothesis-based compressed video sensing scheme attracts wide attention in the research of resource-constrained video application scenarios. However, high-accuracy weight prediction of hypotheses is always challenging especially for the high-motion sequences. To solve this problem, this…
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Keywords:
compressed video;
system;
video sensing;
multihypothesis based ... See more keywords
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Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2019.2944806
Abstract: The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the quality of a single frame, not considering the…
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Keywords:
compressed video;
quality enhancement;
frame;
quality ... See more keywords