Huet. Multimodal video-to-video linking: Turning to the crowd for insight and evaluation. In Proc. of the 23rd International Conference on Multimedia Modeling, 2017.M. Eskevich, M. Larson, R. Aly, S. Sabetghadam, G. J. Jones, R. Ordelman, and B. Huet. Multimodal video-to- video ...
stage1:掩码预训练 这个阶段的目的主要是为了重构视频,作者使用了两个专家模型去指导视觉编码器做token的重建,这两个模型分别是InternVL-6B和VideoMAEv2,通过简单的线性投射层将信息蒸馏给VideoEncoder。在训练过程中,是将视频的全部帧都用来做训练,两个专家模型都是mask掉了约80%的信息,同样对齐的时候只是对齐了没...
Cowan, K. (2014), "Multimodal transcription of video: examining interactions in early years classrooms", Classroom Discourse, Vol. 5 No. 1, pp. 6-21.Cowan, K. (2013) Multimodal transcription of video: Examining interactions in early years classrooms. Classroom Discourse . DOI: 10.1080/...
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning Kangning Liu1,2∗ Shuhang Gu2∗ Andre´s Romero2 Radu Timofte2 1Center for Data Science, New York University, USA 2Computer Vision Lab, ETH Zu¨rich, Switzerland Abstract Exi...
BEIJING, Oct. 21 (Xinhua) -- The Beijing Academy of Artificial Intelligence (BAAI) on Monday released Emu3, a multimodal world model that unifies the understanding and generation of text, image, and video modalities with next-token prediction. ...
Videospace’s unique proposition is inDeep Video Search. To index, search and extract video data and intelligence, the only way is to use a multimodal AI approach to understand videos. These are the kinds of video intelligence and value Videospace extracts: ...
The most prominent tasks in this area are spoken language translation, image-guided translation, and video-guided translation, which exploit audio and visual modalities, respectively. These tasks are distinguished from their monolingual counterparts of speech recognition, image captioning, and video ...
Attention-Based Multimodal Fusion for Video Description Current methods for video description are based on encoder-decoder sentence generation using recurrent neural networks (RNNs). Recent work has demonstrated... C Hori,T Hori,TY Lee,... - IEEE 被引量: 44发表: 2017年 Attention-Based Multimodal...
Progressive Video Summarization via Multimodal Self-supervised Learning Haopeng Li1, Qiuhong Ke3, Mingming Gong2, Tom Drummond1 1School of Computing and Information Systems, the University of Melbourne 2School of Mathematics and Statistics, the University of Melbourne 3Department of Data Science & ...
A video multimodal emotion recognition method based on Bi-GRU and attention fusion is proposed in this paper. Bidirectional gated recurrent unit (Bi-GRU) is applied to improve the accuracy of emotion recognition in time contexts. A new network initialization method is proposed and applied to the ...