Showing 741 - 760 results of 9,087 for search 'VidCon~', query time: 4.64s Refine Results
  1. 741
  2. 742

    Target Tracking Algorithm in Football Match Video Based on Deep Learning by Wei Zhao

    Published 2022-01-01
    “…Therefore, a soccer game video target tracking algorithm based on deep learning is proposed. …”
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  3. 743

    Game Theoretic Request Scheduling with Queue Priority in Video Sensor Networks by Jia Zhao, Jianfeng Guan, Changqiao Xu, Wei Su

    Published 2014-03-01
    “…Video sensor networks have been widely used to monitor environment and report abnormality. …”
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  4. 744
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    L’art video et la memoire collective en turquie by Merve Kaptan

    Published 2025-02-01
    “…Les vidéos choisies présentent les souvenirs autobiographiques ou des références à la mémoire collective afin d’explorer la façon dont le temps est représenté dans l’art vidéo. …”
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  6. 746

    A Novel Proprietary Internet Video Traffic Dataset Generation Algorithm by Tianhua Chen, Elans Grabs, Aleksandrs Ipatovs, Maria-Dolores Cano

    Published 2025-01-01
    “…Considering the exponential growth of network traffic, particularly driven by over-the-top (OTT) streaming applications, video category network traffic constitutes a significant portion of overall network traffic. …”
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  7. 747

    An Evolutionary Video Assignment Optimization Technique for VOD System in Heterogeneous Environment by King-Man Ho, Wing-Fai Poon, Kwok-Tung Lo

    Published 2010-01-01
    “…We investigate the video assignment problem of a hierarchical Video-on-Demand (VOD) system in heterogeneous environments where different quality levels of videos can be encoded using either replication or layering. …”
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    Video Assemblages: ‘Machinic Animism’ and ‘Asignifying Semiotics’ in the Work of Melitopoulos and Lazzarato by Jay Hetrick

    Published 2014-04-01
    “…In this paper I will analyse the theoretical background of a single video installation – co-created by Angela Melitopoulos and Maurizio Lazzarato – in order to unpack Deleuze and Guattari’s important but somewhat elusive concepts of ‘machinic animism’ and ‘asignifying semiotics.’ …”
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  12. 752

    Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning by Hong Kai

    Published 2021-01-01
    “…As one of the traditional entertainment items, video background music has gradually changed from traditional consumption to network consumption, which naturally also has the problem of information overload. …”
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    Article
  13. 753

    Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment by Diego José Luis Botia Valderrama, Natalia Gaviria Gómez

    Published 2016-01-01
    “…However, factors like the network parameters and codification can affect the quality of video, limiting the correlation between the objective and subjective metrics. …”
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    Quality monitoring technology of MPEG2-TS VBR video stream by Peilin XUE, Jie LIANG, Xuebo WU

    Published 2017-08-01
    Subjects: “…video stream…”
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  20. 760

    Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

    Published 2022-02-01
    “…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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