A Sparse-Based Transformer Network With Associated Spatiotemporal Feature for Micro-Expression Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3211200
Abstract: Despite a lot of work in excavating the emotion descriptor from the hidden information, learning an effective spatiotemporal feature is a challenging issue for micro-expression recognition due to the fact that the micro-expression has a… read more here.
Keywords: micro expression; spatiotemporal feature; feature; expression recognition ... See more keywords
Spatiotemporal Feature Hierarchy-Based Blind Prediction of Natural Video Quality via Transfer Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2022.3192997
Abstract: In this paper, we propose a pyramidal spatiotemporal feature hierarchy (PSFH)-based no-reference (NR) video quality assessment (VQA) method using transfer learning. First, we generate simulated videos by a generative adversarial network (GAN)-based image restoration model.… read more here.
Keywords: quality; feature hierarchy; feature; video quality ... See more keywords
Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2868262
Abstract: The recently developed video multi-method assessment fusion (VMAF) framework integrates multiple quality-aware features to accurately predict the video quality. However, the VMAF does not yet exploit important principles of temporal perception that are relevant to… read more here.
Keywords: video; quality; fusion; spatiotemporal feature ... See more keywords
Small Low-Contrast Target Detection: Data-Driven Spatiotemporal Feature Fusion and Implementation.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3072311
Abstract: Detecting small low-contrast targets in the airspace is an essential and challenging task. This article proposes a simple and effective data-driven support vector machine (SVM)-based spatiotemporal feature fusion detection method for small low-contrast targets. We… read more here.
Keywords: low contrast; feature; feature fusion; spatiotemporal feature ... See more keywords