Results 221 to 230 of about 103,551 (264)

A multimodal deep learning-based model for posture asymmetry recognition and sports injury risk prediction in adolescent table tennis athletes. [PDF]

Front Physiol
Wang D, Guo Y.
europepmc   +1 more source

PICU Face and Thoracoabdominal Detection Using Self-Supervised Divided Space-Time Mamba. [PDF]

Life (Basel)
Ben Salah MK, Jouvet P, Noumeir R.
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Chemist Eye: a visual language model-powered system for safety monitoring and robot decision-making in self-driving laboratories.

Digit Discov
Munguia-Galeano F, Zhou Z, Veeramani S, Fakhruldeen H, Longley L, Clowes R, Cooper AI.   +6 more
europepmc   +1 more source

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RGB-D video content identification

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
This paper proposes the first content identification (ID) system for depth video as well as a first hybrid content ID system for synchronized RGB and depth (RGB-D) video. The proposed systems are tested on a public RGB-D dataset. The hybrid system demonstrates significant performance gains over RGB-alone or depth-alone systems, while depth and RGB ...
Honghai Yu, Pierre Moulin, Sujoy Roy
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Effective keyframe extraction from RGB and RGB-D video sequences

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017
The rapid increase in digital video content demands effective summarization techniques, specially with the creation of RGBD videos. Keyframe extraction significantly reduces the amount of raw data in a video sequence. In this paper, we present a two-stage (histogram and filtering) keyframe extraction algorithm applicable on RGB and RGBD videos.
Julien Valognes, Maria A. Amer, Niloufar Salehi Dastjerdi   +2 more
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Label propagation in RGB-D video

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
We propose a new method for the propagation of semantic labels in RGB-D video of indoor scenes given a set of ground truth keyframes. Manual labeling of all pixels in every frame of a video sequence is labor intensive and costly, yet required for training and testing of semantic segmentation methods.
Md. Alimoor Reza, Hui Zheng, Georgios Georgakis, Jana Kosecka   +3 more
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Action recognition in RGB-D egocentric videos

2017 IEEE International Conference on Image Processing (ICIP), 2017
In this paper, we investigate the problem of action recognition in RGB-D egocentric videos. These self-generated and embodied videos provide richer semantic cues than the conventional videos captured from the third-person view for action recognition. Moreover, they contain both appearance information and 3D structure of the scenes from the RGB modality
Yansong Tang, Yi Tian, Jiwen Lu, Jianjiang Feng, Jie Zhou   +4 more
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Inter-plane prediction for RGB video coding

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
This paper presents an efficient video coding method in RGB space. Generally RGB space is regarded as a bad space from a compression point of view. Each RGB component contains the color information along with luminance information. This redundancy degrades the coding efficiency.
null Woo-Shik Kim, null Dae-Sung Cho, null Hyun Mon Kim   +2 more
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Guided Cross-Component Prediction for RGB Video Coding

2018 Data Compression Conference, 2018
Statistical dependencies among different color components can be exploited to improve the compression efficiency of video coding. In the Range Extensions (RExt) of High Efficiency Video Coding (HEVC) standard, a cross-component prediction tool is adopted.
Han Huang, Shawmin Lei
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