Svformer: Semi-supervised video transformer for action recognition
Semi-supervised action recognition is a challenging but critical task due to the high cost of
video annotations. Existing approaches mainly use convolutional neural networks, yet …
video annotations. Existing approaches mainly use convolutional neural networks, yet …
A survey of deep learning in sports applications: Perception, comprehension, and decision
Deep learning has the potential to revolutionize sports performance, with applications
ranging from perception and comprehension to decision. This paper presents a …
ranging from perception and comprehension to decision. This paper presents a …
Attention-guided multi-granularity fusion model for video summarization
Y Zhang, Y Liu, C Wu - Expert Systems with Applications, 2024 - Elsevier
Video summarization has attracted extensive attention benefiting from its valuable capability
to facilitate video browsing. While achieving notable improvement, existing methods still fail …
to facilitate video browsing. While achieving notable improvement, existing methods still fail …
Vidiff: Translating videos via multi-modal instructions with diffusion models
Diffusion models have achieved significant success in image and video generation. This
motivates a growing interest in video editing tasks, where videos are edited according to …
motivates a growing interest in video editing tasks, where videos are edited according to …
A comprehensive study of automatic video summarization techniques
D Gupta, A Sharma - Artificial Intelligence Review, 2023 - Springer
Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …
by including meaningful frames or segments while eliminating redundant information. The …
A multi-flexible video summarization scheme using property-constraint decision tree
X Teng, X Gui, P Xu, Y Shao, J Tong, T Du, H Dai - Neurocomputing, 2022 - Elsevier
Video summarization (VS) technology presents a multi-tendency development. However,
there are still certain challenges in shortening a long video into several diverse and concise …
there are still certain challenges in shortening a long video into several diverse and concise …
BNoteHelper: a note-based outline generation tool for structured learning on video-sharing platforms
Usually generated by ordinary users and often not particularly designed for learning, the
videos on video-sharing platforms are mostly not structured enough to support learning …
videos on video-sharing platforms are mostly not structured enough to support learning …
A Hierarchical Spatial–Temporal Cross-Attention Scheme for Video Summarization Using Contrastive Learning
X Teng, X Gui, P Xu, J Tong, J An, Y Liu, H Jiang - Sensors, 2022 - mdpi.com
Video summarization (VS) is a widely used technique for facilitating the effective reading,
fast comprehension, and effective retrieval of video content. Certain properties of the new …
fast comprehension, and effective retrieval of video content. Certain properties of the new …
Effective Video Summarization by Extracting Parameter-Free Motion Attention
Video summarization remains a challenging task despite increasing research efforts.
Traditional methods focus solely on long-range temporal modeling of video frames …
Traditional methods focus solely on long-range temporal modeling of video frames …
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
Y Wang, S Zhou, K Xia, L Wang - arXiv preprint arXiv:2404.16416, 2024 - arxiv.org
Semi-supervised action recognition aims to improve spatio-temporal reasoning ability with a
few labeled data in conjunction with a large amount of unlabeled data. Albeit recent …
few labeled data in conjunction with a large amount of unlabeled data. Albeit recent …