Results 21 to 30 of about 112,169 (310)
Restore DeepFakes video frames via identifying individual motion styles
Recent advance on highly realistic AI‐synthesised video approaches makes it hard to distinguish whether a speaker in video is real. Many existing DeepFakes detection approaches can be invalidated by using them as supervision in adversarial training ...
Haichao Zhang +3 more
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Light field editing in the gradient domain
This paper presents a new method for light field applications such as content replacement and fusion in the gradient domain. This approach is inspired by successful gradient domain based image and video editing techniques.
Ioana Sevcenco, Panajotis Agathoklis
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Human behaviour recognition with mid‐level representations for crowd understanding and analysis
Crowd understanding and analysis have received increasing attention for couples of decades, and development of human behaviour recognition strongly supports the application of crowd understanding and analysis. Human behaviour recognition usually seeks to
Bangyong Sun +4 more
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Attention‐based video object segmentation algorithm
To improve the segmentation performance on videos with large object motion or deformation, a novel scheme is proposed which has two branches. In one branch, the attention mechanism is first utilized to highlight objects‐related features.
Ying Cao +3 more
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Entropy Algorithms Using Deep Learning for Signal Processing
Image and video processing operatons are significant in our life as most electronic devices, such as PCs and mobiles, are all developed by signal processing [...]
Gwanggil Jeon
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Remote sensing target tracking in satellite videos plays a key role in various fields. However, due to the complex backgrounds of satellite video sequences and many rotation changes of highly dynamic targets, typical target tracking methods for natural ...
Fukun Bi +4 more
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Monitoring and Diagnosing Neonatal Seizures by Video Signal Processing
In this thesis we consider the use of well-known statistical methods to early diagnose, through wire-free low-cost video processing, the potential presence of seizures.
Guy Mathurin Kouamou Ntonfo
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A deep learning method for video‐based action recognition
In this paper, a deep learning method for video‐based action recognition is proposed. On the one hand, boundary compensation on the basis of a deep neural network is performed to achieve action proposal.
Guanwen Zhang +4 more
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A comprehensive survey: Image deraining and stereo‐matching task‐driven performance analysis
Deraining has been attracting a lot of attention from researchers, and various methods have been proposed, especially deep‐networks are widely adopted in recent years.
Shuangli Du +5 more
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Adaptive Video Encoding for Different Video Codecs
By 2022, we expect video traffic to reach 82% of the total internet traffic. Undoubtedly, the abundance of video-driven applications will likely lead internet video traffic percentage to a further increase in the near future, enabled by associate ...
G. Esakki +3 more
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