Instagram Image Filtration with Computer Vision

Tanjimul Ahad Asif, B. Saha
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引用次数: 0

Abstract

Instagram is one of the famous and fast-growing media sharing platforms. Instagram allows users to share photos and videos with followers. There are plenty of ways to search for images on Instagram, but one of the most familiar ways is ’hashtag.’ Hashtag search enables the users to find the precise search result on Instagram. However, there are no rules for using the hashtag; that is why it often does not match the uploaded image, and for this reason, Users are unable to find the relevant search results. This research aims to filter any human face images on search results based on hashtags on Instagram. Our study extends the author’s [2] work by implementing image processing techniques that detect human faces and separate the identified images on search results based on hashtags using the face detection technique.
Instagram图像过滤与计算机视觉
Instagram是一个著名的快速发展的媒体分享平台。Instagram允许用户与粉丝分享照片和视频。在Instagram上搜索图片有很多方法,但最熟悉的一种方法是“标签”。#标签搜索可以让用户在Instagram上找到精确的搜索结果。然而,使用标签没有规则;这就是为什么它经常与上传的图像不匹配,因此,用户无法找到相关的搜索结果。该研究旨在根据Instagram上的标签过滤搜索结果中的任何人脸图像。我们的研究扩展了作者[2]的工作,实现了检测人脸的图像处理技术,并使用人脸检测技术基于标签从搜索结果中分离出识别的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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