Automated Discovery of Network Cameras in HeterogeneousWeb Pages

Dailey Ryan; Chawla Aniesh; Liu AndrewMishra SripathZhang LingMajors JoshLu Yung-HsiangThiruvathukal George K.

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Automated Discovery of Network Cameras in HeterogeneousWeb Pages

机译：Automated Discovery of Network Cameras in HeterogeneousWeb Pages

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摘要

Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer real-time visual data that can be used for studying traffic patterns, emergency response, security, and other applications. Although many sources of Network Camera data are available, collecting the data remains difficult due to variations in programming interface and website structures. Previous solutions rely on manually parsing the target website, taking many hours to complete. We create a general and automated solution for aggregating Network Camera data spread across thousands of uniquely structured web pages. We analyze heterogeneous web page structures and identify common characteristics among 73 sample Network Camera websites (each website has multiple web pages). These characteristics are then used to build an automated camera discovery module that crawls and aggregates Network Camera data. Our system successfully extracts 57,364 Network Cameras from 237,257 unique web pages.

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《ACM Transactions on Internet Technology》 |2022年第1期|共25页
作者
Dailey Ryan; Chawla Aniesh; Liu AndrewMishra SripathZhang LingMajors JoshLu Yung-HsiangThiruvathukal George K.;
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作者单位

Purdue Univ;

Carnegie Mellon Univ;

Loyola Univ Chicago;

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原文格式 PDF
正文语种英语
中图分类计算技术、计算机技术;
关键词
Web indexing; web crawling; web scraping; service discovery and interfaces; sensor networks; data streaming; multimedia streaming; network cameras; web cameras;

Automated Discovery of Network Cameras in HeterogeneousWeb Pages

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