数据挖掘算法在新闻摄影和短视频传播中的应用研究

Yidi Wang, Yan Song Zhang
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引用次数: 0

摘要

短片和图片新闻是视频传播的重要组成部分,但也存在视频整合不佳、短片和图片新闻不一致、传播速度缓慢等问题。为了评估和分析视频传播,本研究提供了一种数据挖掘算法。首先,利用挖掘算法对数据库中的图片和视频进行选择和分析,然后根据视频传播的规范将其分为若干组,从而减少指标。然后,挖掘算法对视频传播进行分析,创建符合标准的计划,并完善符合标准的计划。分析。根据 MATLAB 仿真,在特定的分析标准下,数据挖掘算法对视频传播的整合程度、及时性和符合率均优于传统的视频传播方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the application of data mining algorithm in photojournalism and short video communication
Short films and photojournalism are crucial parts of video communication, yet there are issues including poor video integration, inconsistency between short videos and photojournalism, and slow communication speed. In order to evaluate and analyse video communication, this research offers a data mining algorithm. First, the database's images and videos are chosen and analysed using a mining algorithm, and then the indicators are reduced by dividing them into groups based on the specifications for video dissemination. video transmission distractions. The mining algorithm then analyses the video propagation, creates a plan that satisfies the criteria, and refines the plans that satisfies the criteria. Analyse. The integration level, timeliness, and compliance rate of data mining algorithms for video propagation are superior to traditional video dissemination method under specific analysis criteria, according to MATLAB simulation.
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