文章基本信息

标题：A Framework for Focused Image Crawler and Face Harvester
本地全文：下载
作者：Shatashi Bansal ; Abhinav Goel ; Manav Bansal 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：617-620
语种：English
出版社：Ayushmaan Technologies
摘要：The World Wide Web is a global, read-write information space loaded with Text documents, images, multimedia and many other items of information. Search Engines are important tools of information gathering from World Wide Web, if information is in the form of picture than it plays a major role to take prompt action and easy to use. There is a human tendency to retain more images than text. This paper presents a development of a image crawler that will focus on gathering images from the World Wide Web and identifies and extract Human Faces and store them for social uses such as making Face databases .and interests specific human face collections. To achieve Image crawling, we designed two crawler modules: a Web Crawler that searches the relevant web URL and a Face Detector that identifies the faces, crop it and stores them in a particular directory.
关键词：Web Crawling;Focused Crawler;Image Retrieval