A parametric analysis of AVA to optimise Netflix performance.

Divya Rastogi, Tasha Singh Parihar, Harish Kumar
{"title":"A parametric analysis of AVA to optimise Netflix performance.","authors":"Divya Rastogi,&nbsp;Tasha Singh Parihar,&nbsp;Harish Kumar","doi":"10.1007/s41870-023-01281-z","DOIUrl":null,"url":null,"abstract":"<p><p>In this research study, researcher tries to understand how Over-the-top platforms like Netflix categorically utilize aesthetic visual analysis (AVA); an image selection tool to reduce time and increase efficacy, through a parametric analysis of AVA to optimise Netflix performance. This research paper tries to answer all the questions related to the how the database of aesthetic visual analysis (AVA), an image selection tool works better or more like humans. To further substantiate the popularity of Netflix, a real time data of 307 respondents who use OTT platforms in Delhi was collected to determine whether Netflix in fact is or not the market leader. 63.8% of them selected Netflix as their top option.</p>","PeriodicalId":73455,"journal":{"name":"International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186304/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41870-023-01281-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this research study, researcher tries to understand how Over-the-top platforms like Netflix categorically utilize aesthetic visual analysis (AVA); an image selection tool to reduce time and increase efficacy, through a parametric analysis of AVA to optimise Netflix performance. This research paper tries to answer all the questions related to the how the database of aesthetic visual analysis (AVA), an image selection tool works better or more like humans. To further substantiate the popularity of Netflix, a real time data of 307 respondents who use OTT platforms in Delhi was collected to determine whether Netflix in fact is or not the market leader. 63.8% of them selected Netflix as their top option.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
AVA的参数分析,以优化Netflix的性能。
在这项研究中,研究人员试图了解像Netflix这样的顶级平台是如何明确利用美学视觉分析(AVA)的;一种图像选择工具,通过对AVA的参数分析来优化Netflix的性能,从而减少时间并提高效率。本文试图回答与审美视觉分析数据库(AVA)相关的所有问题,AVA是一种图像选择工具,它如何更好或更像人类。为了进一步证实Netflix的受欢迎程度,我们收集了307名在德里使用OTT平台的受访者的实时数据,以确定Netflix是否真的是市场领导者。63.8%的受访者选择Netflix作为首选。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Convolutional neural network based children recognition system using contactless fingerprints. On utilizing modified TOPSIS with R-norm q-rung picture fuzzy information measure green supplier selection. Adoption of machine learning algorithm for predicting the length of stay of patients (construction workers) during COVID pandemic. Adoption and sustainability of bitcoin and the blockchain technology in Nigeria. Debunking multi-lingual social media posts using deep learning.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1