Video Action Understanding
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3115476
Abstract: Many believe that the successes of deep learning on image understanding problems can be replicated in the realm of video understanding. However, due to the scale and temporal nature of video, the span of video… read more here.
Keywords: video; video action; action understanding; action ... See more keywords
Rethinking Lightweight: Multiple Angle Strategy for Efficient Video Action Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3144074
Abstract: Video action recognition task involves modeling spatiotemporal information, and efficiency is critical to capture spatiotemporal dependencies in the video. Most existing models rely on optical flow information to capture the dynamic visual tempos between consecutive… read more here.
Keywords: recognition; action recognition; strategy; video action ... 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
Pose-Appearance Relational Modeling for Video Action Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3228156
Abstract: Recent studies of video action recognition can be classified into two categories: the appearance-based methods and the pose-based methods. The appearance-based methods generally cannot model temporal dynamics of large motion well by virtue of optical… read more here.
Keywords: based methods; appearance; stream; pose appearance ... See more keywords
Sequence as a Whole: A Unified Framework for Video Action Localization With Long-Range Text Query
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3243525
Abstract: Comprehensive understanding of video content requires both spatial and temporal localization. However, there lacks a unified video action localization framework, which hinders the coordinated development of this field. Existing 3D CNN methods take fixed and… read more here.
Keywords: localization; action localization; framework; video action ... See more keywords
IVAC-$\mathbf {P^{2}L}$: Leveraging Irregular Repetition Priors for Improving Video Action Counting
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3604935
Abstract: The quantification of repetitive actions in videos, a task commonly referred to as Video Action Counting (VAC), is a critical challenge in understanding and analyzing content in sports, fitness, and daily activities. Traditional approaches to… read more here.
Keywords: repetition priors; irregular repetition; video action; action counting ... See more keywords
Performance Art Video Action Management Oriented to 6G Wireless Transmission Technology
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1649455
Abstract: With the development of 5G communication networks, the development prospects, capability requirements, and key technologies of the next-generation communication system 6G have become new hotspots. This article expands the coverage of the communication system through… read more here.
Keywords: technology; transmission technology; action; video action ... See more keywords
Multi-scale spatiotemporal information deep fusion network with temporal pyramid mechanism for video action recognition
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent and Fuzzy Systems"
DOI: 10.3233/jifs-189714
Abstract: In the deep learning-based video action recognitio, the function of the neural network is to acquire spatial information, motion information, and the associated information of the above two kinds of information over an uneven time… read more here.
Keywords: video action; temporal information; spatial temporal; network ... See more keywords