Showing 621 - 640 results of 3,210 for search '"video"', query time: 0.05s Refine Results
  1. 621

    Distortion-Based Slice Level Prioritization for Real-Time Video over QoS-Enabled Wireless Networks by Ismail A. Ali, Martin Fleury, Mohammed Ghanbari

    Published 2012-01-01
    “…This paper presents a prioritization scheme based on an analysis of the impact on objective video quality when dropping individual slices from coded video streams. …”
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    An Intelligent Ship Image/Video Detection and Classification Method with Improved Regressive Deep Convolutional Neural Network by Zhijian Huang, Bowen Sui, Jiayi Wen, Guohe Jiang

    Published 2020-01-01
    “…An accurate and fast method for ship image/video detection and classification is of great significance for not only the port management, but also the safe driving of Unmanned Surface Vehicle (USV). …”
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    Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks by Ilias Politis, Michail Tsagkaropoulos, Thomas Pliakas, Tasos Dagiuklas

    Published 2007-01-01
    “…This paper presents a generic framework solution for minimizing video distortion of all multiple video streams transmitted over 802.11e wireless networks, including intelligent packet scheduling and channel access differentiation mechanisms. …”
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    A Critical Review of YouTube Videos on the Socket-shield Technique: A Content-quality Analysis by Urvi Echhpal, Subhabrata Maiti, Rajendra Prabhu Abhinav

    Published 2024-12-01
    “…The study concludes that video content on socket shielding is not reliable, emphasizing the importance of clinical observation and hands-on practice.…”
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    QoE-aware video cooperative caching and transmission mechanism based on TWDM-PON and C-RAN by Dapeng WU, Xue LI, Hongxia LI

    Published 2019-03-01
    “…The quality of user experience suffers from performance deterioration dramatically due to the explosively growing data traffic.To improve the poor performance of cell-edge users and heavy-load cell users,which caused by dense network and load imbalance respectively,an QoE-aware video cooperative caching and transmission mechanism in cloud radio access network was proposed.Cooperative gain-aware virtual passive optical network was established to provide cooperative caching and transmission for video streaming by adopting collaborative approach in optical domain and wireless domain.Furthermore,user experience for video streaming,bandwidth provisioning and caching strategy were jointly optimized to improve QoE,which utilized the methods of dynamic caching in optical domain and buffer level-aware bandwidth configuration in wireless domain.The results show that the proposed mechanism enhances the quality of user experience and effectively improves the cache hit rate.…”
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    Pengembangan Media Pembelajaran Video Passing Sepak Bola Pada Siswa SMTK GGRI-P Merauke by Dilli Dwi Kuswoyo, Hendra Jondry Hiskya

    Published 2021-11-01
    “…Serta Belum ada media pembelajaran video passing sepak bola pada siswa SMTK GGRI-P Merauke. …”
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  18. 638

    An adaptive video stream transmission control method for wireless heterogeneous networks based on A3C by Zhiqiang LUO, Wei WANG, Xiaorong ZHU

    Published 2020-12-01
    “…The adaptive bit rate (ABR) algorithm has become the focus research in video transmission.However,due to the characteristics of 5G wireless heterogeneous networks,such as large fluctuation of channel bandwidth and obvious differences between different networks,the adaptive video stream transmission with multi-terminal cooperation was faced with great challenges.An adaptive video stream transmission control method based on deep reinforcement learning was proposed.First of all,a video stream dynamic programming model was established to jointly optimize the transmission rate and diversion strategy.Since the solution of this optimization problem depended on accurate channel estimation,dynamically changing channel state was difficult to achieve.Therefore,the dynamic programming problem was improved to reinforcement learning task,and the A3C algorithm was used to dynamically determine the video bit rate and diversion strategy.Finally,the simulation was carried out according to the measured network data,and compared with the traditional optimization method,the method proposed better improved the user QoE.…”
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    Assessing the quality, reliability, and transparency of YouTube videos on spiritual palliative care: a content analysis by Fhaied Almobarak

    Published 2025-02-01
    “…The present study is the first analysis of spiritual palliative care videos on YouTube, revealing the types of creators (e.g., educational institutions, healthcare providers, etc.), dominant video formats (documentaries, testimonials, lectures, etc.), and overall quality and transparency of the content.MethodsOn 19th April 2024, a sample of 50 spiritual palliative care YouTube videos was compiled and examined for quality, reliability, and transparency assessment. …”
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