Median Filtering Forensics in Compressed Video
Sign Up to like & getrecommendations! 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… read more here.
Keywords: video; forensics compressed; median filtering; filtering forensics ... See more keywords
OVQE: Omniscient Network for Compressed Video Quality Enhancement
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: information; frequency; omniscient network; enhancement ... See more keywords
Deep Compressed Video Super-Resolution With Guidance of Coding Priors
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DOI: 10.1109/tbc.2024.3394291
Abstract: Compressed video super-resolution (VSR) is employed to generate high-resolution (HR) videos from low-resolution (LR) compressed videos. Recently, some compressed VSR methods have adopted coding priors, such as partition maps, compressed residual frames, predictive pictures and… read more here.
Keywords: video super; coding priors; resolution; compressed video ... See more keywords
Dynamic Spatial Focus for Efficient Compressed Video Action Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3287201
Abstract: Recent years have witnessed a growing interest in compressed video action recognition due to the rapid growth of online videos. It remarkably reduces the storage by replacing raw videos with sparsely sampled RGB frames and… read more here.
Keywords: video action; motion; compressed video; action recognition ... See more keywords
Compressed Video Action Recognition With Dual-Stream and Dual-Modal Transformer
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2023.3319140
Abstract: Compressed video action recognition offers the advantage of reducing decoding and inference time compared to the RGB domain. However, the compressed domain poses unique challenges with different types of frames (I-frames and P-frames). I-frames consistent… read more here.
Keywords: information; recognition; action recognition; modal ... See more keywords
A New Multihypothesis-Based Compressed Video Sensing Reconstruction System
Sign Up to like & getrecommendations! 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… read more here.
Keywords: compressed video; system; video sensing; multihypothesis based ... See more keywords
MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video
Sign Up to like & getrecommendations! 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… read more here.
Keywords: compressed video; quality enhancement; frame; quality ... See more keywords