首页> 外国专利> GENERATING DIGITAL VIDEO SUMMARIES UTILIZING AESTHETICS, RELEVANCY, AND GENERATIVE NEURAL NETWORKS

GENERATING DIGITAL VIDEO SUMMARIES UTILIZING AESTHETICS, RELEVANCY, AND GENERATIVE NEURAL NETWORKS

机译:利用美学,传承和生成神经网络生成数字视频摘要

摘要

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital video summaries based on analyzing a digital video utilizing a relevancy neural network, an aesthetic neural network, and/or a generative neural network. For example, the disclosed systems can utilize an aesthetics neural network to determine aesthetics scores for frames of a digital video and a relevancy neural network to generate importance scores for frames of the digital video. Utilizing the aesthetic scores and relevancy scores, the disclosed systems can select a subset of frames and apply a generative reconstructor neural network to create a digital video reconstruction. By comparing the digital video reconstruction and the original digital video, the disclosed systems can accurately identify representative frames and flexibly generate a variety of different digital video summaries.
机译:本公开涉及用于基于使用相关神经网络,美学神经网络和/或生成神经网络分析数字视频来生成数字视频摘要的系统,方法和非暂时性计算机可读介质。例如,所公开的系统可以利用美学神经网络来确定数字视频的帧的美学分数,并利用相关性神经网络来生成数字视频的帧的重要性得分。利用美学分数和相关性分数,所公开的系统可以选择帧的子集并应用生成重建器神经网络来创建数字视频重建。通过将数字视频重建与原始数字视频进行比较,所公开的系统可以准确地识别代表性帧并灵活地生成各种不同的数字视频摘要。

著录项

  • 公开/公告号US2019377955A1

    专利类型

  • 公开/公告日2019-12-12

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US201816004170

  • 发明设计人 VISWANATHAN SWAMINATHAN;HONGXIANG GU;

    申请日2018-06-08

  • 分类号G06K9;G11B27/031;

  • 国家 US

  • 入库时间 2022-08-21 11:25:21

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