对比分析和数据检索,通过图像处理识别Instagram相关人群

J. Jayakody, Nt Jayatilake, T. Weerawardane
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引用次数: 0

摘要

- Instagram在过去三年中已经成为增长最快的社交网络。它允许用户通过上传带有描述性文字、位置和某些不一定代表图片内容的标签的图片来分享他们的状态。所以现在Instagram已经成为最受欢迎的照片分享网站。虽然它是一个相对简单的服务,但Instagram的简单性为它在全球的成功做出了贡献。但不幸的是,有些人滥用这个网站进行不道德的活动,如分享虚假宣传和假新闻、恐怖活动、不道德的宗教活动、非法毒品分销等。因此,这项工作是识别可以用于检索和分析Instagram图像数据的合适技术,如人口统计分析,文本分析,图像分析,雪球技术和iPhone照片中使用的一些人脸识别技术,人脸识别技术,如特征脸技术,神经网络,图形匹配,Line Edge Mapping用于系统检索和分析来自Instagram的图像数据,并识别与某个Instagram用户最相关的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison Analysis and Data Retrieval to identify the associated people of Instagram by Image Processing
— Instagram has become a fastest growing social network in the last three years. It let the users to share their status by uploading images with a descriptive text, a location, and certain hashtags that do not necessarily represent the substance of the pictures. So now Instagram has become a most popular photo-sharing website. While it is a relatively simple service, Instagram's simplicity has contributed to its worldwide success. But unfortunately, some people misuse this website for unethical activities such as sharing false propaganda and fake news, terrorist activities, unethical religious activities, illicit drug distributions etc. Therefore, this work is to recognize the suitable technologies that can be used to retrieve and analyze image data from Instagram such as Demographic analysis, Text analysis, Image analysis, Snowball Technology and some of the face recognition technologies used in iPhone photos , face recognition technologies such as Eigenfaces technology, Neural Networks, Graph Matching, Line Edge Mapping for a system to retrieve and analyze image data from Instagram and to identify the most associated people of a certain Instagram user.
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