Suchergebnisse - "VIDEO processing"

StructuReiser: A Structure‐preserving Video Stylization Method.

Autoren: Spetlik, R. Futschik, D. Sýkora, D.

Quelle: Computer Graphics Forum. Jul2025, Vol. 44 Issue 4, p1-14. 14p.

Schlagwörter: *REAL-time computing, *INVENTIONS, VIDEO editing, VIDEO processing

MAMBO-NET: Multi-causal aware modeling backdoor-intervention optimization for medical image segmentation network

Autoren: Yu, Ruiguo Zhang, Yiyang Tian, Yuan et al.

Quelle: Pattern Recognition Letters. 197:102-109

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2505.21874

Guidance disentanglement network for Optics-Guided thermal UAV image super-resolution

Autoren: Zhicheng Zhao Juanjuan Gu Chenglong Li et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 228:64-82

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2410.20466

Multi-Keypoint Affordance Representation for Functional Dexterous Grasping

Autoren: Fan Yang Dongsheng Luo Wenrui Chen et al.

Quelle: IEEE Robotics and Automation Letters. 10:10306-10313

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Image and Video Processing, Robotics, Computer Vision and Pattern Recognition, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2502.20018

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-Sampling From a Single Image

Autoren: Bowen Hu Weiheng Yao Sibo Qiao et al.

Quelle: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:3677-3689

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2305.12646

Cross-Layer Encrypted Semantic Communication Framework for Panoramic Video Transmission

Autoren: Haixiao Gao Mengying Sun Xiaodong Xu et al.

Quelle: IEEE Internet of Things Journal. 12:40545-40562

Schlagwörter: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Cryptography and Security (cs.CR), Computer Science - Multimedia, Multimedia (cs.MM)

Zugangs-URL: http://arxiv.org/abs/2411.12776

DPF-Net: Physical imaging model embedded data-driven underwater image enhancement

Autoren: Han Mei Kunqian Li Shuaixin Liu et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 228:679-693

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: http://arxiv.org/abs/2503.12470

A Perceptually Optimized and Self-Calibrated Tone Mapping Operator

Autoren: Peibei Cao Chenyang Le Yuming Fang et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:8268-8282

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40315085
http://arxiv.org/abs/2206.09146

NeRF-CA: Dynamic Reconstruction of X-Ray Coronary Angiography With Extremely Sparse-Views: Dynamic Reconstruction of X-ray Coronary Angiography with Extremely Sparse-views

Autoren: Kirsten W.H. Maas Danny Ruijters Anna Vilanova et al.

Quelle: IEEE Transactions on Visualization and Computer Graphics. 31:8782-8795

Schlagwörter: Coronary Angiography/methods, FOS: Computer and information sciences, Neural Radiance Field, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Coronary Vessels/diagnostic imaging, Electrical Engineering and Systems Science - Image and Video Processing, Phantoms, Imaging, 4D reconstruction, X-ray coronary angiography, sparse-view, Three-Dimensional/methods, Computer Graphics, FOS: Electrical engineering, electronic engineering, information engineering, Humans, 3D reconstruction, Algorithms

Zugangs-URL: http://arxiv.org/abs/2408.16355
https://research.tue.nl/en/publications/538e0c5a-087e-4999-ae1e-21d1318a35a2
https://doi.org/10.1109/TVCG.2025.3579162

LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation

Autoren: Jiacheng Li Chang Chen Fenglong Song et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:8453-8470

Schlagwörter: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Multimedia, Multimedia (cs.MM)

Zugangs-URL: http://arxiv.org/abs/2407.09935

Hybrid Deep Learning Techniques for Video Processing using attention-based LSTM and 3D CNN.

Autoren: Nagaraju, P. Manchala, Sadanandam

Quelle: Journal of Computational Analysis & Applications. 2025, Vol. 34 Issue 8, p406-433. 28p.

Schlagwörter: *VIDEO processing, *DEEP learning, *MOTION analysis, *HUMAN activity recognition, *DYNAMICAL systems, *ENSEMBLE learning

Robust and enhanced 360° visual tracking based on dynamic gnomonic projection.

Autoren: Peng, Hao Zhang, Yun Zhang, Fang-Lue

Quelle: Journal of the Royal Society of New Zealand. Dec2025, Vol. 55 Issue 6, p2169-2197. 29p.

Schlagwörter: *VIDEO processing, *IMAGE processing, *OPTICAL information processing, *MAP projection

A gated temporal attention based intra prediction framework for robust deepfake video detection.

Autoren: Clapten, J. Eric Balaji, v.

Quelle: Scientific Reports. 11/4/2025, Vol. 15 Issue 1, p1-28. 28p.

Schlagwörter: *VIDEO processing, *INFORMATION technology security, *CONVOLUTIONAL neural networks, *AUTOENCODERS

Adaptive spatiotemporal partitioning for efficient video dehazing.

Autoren: Zhen, Wang Yanli, Liu Guanyu, Xing et al.

Quelle: Visual Computer. Nov2025, Vol. 41 Issue 14, p12055-12070. 16p.

Schlagwörter: *HAZE, *VIDEO processing, *MATHEMATICAL optimization

Midframe-centric token merging for efficient video transformer.

Autoren: Zhang, Qian Yang, Zuosui Shao, Mingwen et al.

Quelle: Cluster Computing. Oct2025, Vol. 28 Issue 10, p1-14. 14p.

Schlagwörter: *VIDEO processing, *ECONOMIC efficiency, *SPATIOTEMPORAL processes, *OPTIMIZATION algorithms

High‐Performance Hardware/Software Co‐Design for Text Extraction Using Optimized Gamma Correction in Video Decoding.

Autoren: Ben Atitallah, Ahmed Alanazi, Meshari D. Alanazi, Turki M. et al.

Quelle: IEEJ Transactions on Electrical & Electronic Engineering. Oct2025, p1. 10p. 17 Illustrations.

Schlagwörter: *TEXT recognition, *VIDEO processing, *COPROCESSORS, *DIGITAL image processing, *EMBEDDED computer systems, *SYSTEMS design, *REAL-time computing

云边协同框架下视频处理任务实时调度算法.

Alternate Title: A real-time scheduling algorithm for video processing tasks under cloud-edge collaboration framework.

Autoren: 李佳坤 谢雨来 冯 丹

Quelle: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Oct2025, Vol. 47 Issue 10, p1767-1778. 12p.

Schlagwörter: *VIDEO processing, *MULTI-objective optimization, *OPERATING costs, *SCHEDULING, *ARTIFICIAL neural networks, *DISTRIBUTED computing

UNetDeblur: Optimized Lightweight and Efficient Motion Deblurring for Mobile Platforms in Real-Time Scenarios.

Autoren: Ranjan, Arti Ravinder, M.

Quelle: Circuits, Systems & Signal Processing. Oct2025, Vol. 44 Issue 10, p7719-7752. 34p.

Schlagwörter: *REAL-time computing, *VIDEO processing, *MOBILE operating systems, *IMAGE reconstruction, *MOTION capture (Human mechanics), *MATHEMATICAL optimization

A Novel Method and Dataset for Depth-Guided Image Deblurring From Smartphone Lidar

Autoren: Montanaro, Antonio Valsesia, Diego

Quelle: 2025 IEEE International Conference on Image Processing (ICIP). :175-180

Schlagwörter: Image deblurring, Depth maps, Lidar, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Image and Video Processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2509.09241

AGBD: A Global-scale Biomass Dataset

Autoren: G. Sialelli T. Peters J. D. Wegner et al.

Quelle: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-G-2025, Pp 829-838 (2025)

Schlagwörter: FOS: Computer and information sciences, Technology, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, 15. Life on land, Engineering (General). Civil engineering (General), TA1501-1820, Machine Learning (cs.LG), Remote Sensing, Machine Learning, 13. Climate action, FOS: Electrical engineering, electronic engineering, information engineering, Applied optics. Photonics, TA1-2040, Biomass Estimation, Dataset

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2406.04928
https://isprs-annals.copernicus.org/articles/X-G-2025/829/2025/
https://doaj.org/article/8779add686b140a6b2cfb870d66eb1ac