Showing 481 - 500 results of 3,210 for search '"video"', query time: 0.05s Refine Results
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    Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance by Sarfaraz Natha, Fareed Ahmed, Mohammad Siraj, Mehwish Lagari, Majid Altamimi, Asghar Ali Chandio

    Published 2025-01-01
    “…Detection of anomalies in video surveillance plays a key role in ensuring the safety and security of public spaces. …”
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    Article
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    Quality of information in gestational diabetes mellitus videos on TikTok: Cross-sectional study. by Genyan Jiang, Lei Chen, Lan Geng, Yuhan Zhang, Zhiqi Chen, Yaqi Zhu, Shuangshuang Ma, Mei Zhao

    Published 2025-01-01
    “…<h4>Objective</h4>This study aims to explore the information quality of GDM videos on TikTok.<h4>Methods</h4>A comprehensive cross-sectional study was conducted on TikTok videos related to GDM. …”
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  7. 487

    TAD: A Large-Scale Benchmark for Traffic Accidents Detection From Video Surveillance by Yajun Xu, Huan Hu, Chuwen Huang, Yibing Nan, Yuyao Liu, Kai Wang, Zhaoxiang Liu, Shiguo Lian

    Published 2025-01-01
    “…To fulfill the above urgent need, we endeavor to collect abundant video data of real traffic accidents and propose a large-scale traffic accidents dataset, named TAD. …”
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    Article
  8. 488

    High-speed video recordings of metal powder pneumatic conveying in thin capillary pipes by Lorenzo Pedrolli, Luigi Fraccarollo, Beatriz Achiaga, Alejandro Lopez

    Published 2025-02-01
    “…This work presents a dataset of high-speed video recordings capturing the horizontal pneumatic conveying of metallic powders in thin capillary pipes. …”
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    Article
  9. 489

    Reference frame list optimization algorithm in video coding by quality enhancement of the nearest picture by Junyan HUO, Ruipeng QIU, Yanzhuo MA, Fuzheng YANG

    Published 2022-11-01
    “…Interframe prediction is a key module in video coding, which uses the samples in the reference frames to predict those in the current picture, thus helps to represent the complex video by transmitting a small amount of the prediction residual.In lossy video coding, the qualities of reference frames are affected by the quantization distortion, which lead to poor prediction accuracy and performance degradation.Targeted at the low latency video services, a reference frame list optimization algorithm was proposed, which enhanced the quality of the nearest reference frame by a deep learning-based convolutional neural network, and integrated the enhanced reference frame into the reference frame list to improve the accuracy of interframe prediction.Compared with H.265/HEVC reference software HM16.22, the proposed algorithm provides BD-rate savings of 9.06%, 14.92% and 13.19% for Y, Cb and Cr components, respectively.…”
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    4kUHD H264 Wireless Live Video Streaming Using CUDA by A. O. Adeyemi-Ejeye, S. Walker

    Published 2014-01-01
    “…Ultrahigh definition video streaming has been explored in recent years. …”
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    Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling by Ahmed Fakhry, Janghoon Lee, Jong Taek Lee

    Published 2025-01-01
    “…In traffic surveillance, accurate video anomaly detection is vital for public safety, yet environmental changes, occlusions, and visual obstructions pose significant challenges. …”
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    On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios by Miguel O. Martínez-Rach, Pablo Piñol, Otoniel M. López, Manuel Perez Malumbres, José Oliver, Carlos Tavares Calafate

    Published 2014-01-01
    “…When comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. …”
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