ndaidong
commented
5 days ago @JohnCido did you provide that method the protected content? If possible, please share HTML you passed into extractFromHtml.
Open JohnCido opened 6 days ago
ndaidong
commented
5 days ago @JohnCido did you provide that method the protected content? If possible, please share HTML you passed into extractFromHtml.
JohnCido
commented
4 days ago For some pages, we have specific rules to only pass content-related HTML into extracter.
<head></head>
<body class="body-resp cmpl_embed_complete cmpl_embed_complete_v2">
<main _ngcontent-dql-c470="" id="xplMainContentLandmark">
<div _ngcontent-dql-c470="" class="global-ng-wrapper"><router-outlet
_ngcontent-dql-c470=""></router-outlet><xpl-document-details _nghost-dql-c215="">
<div _ngcontent-dql-c215="" class="row g-0 document ng-document stats-document g-0">
<div _ngcontent-dql-c215="" class="document-main global-content-width-w-rr">
<section _ngcontent-dql-c215="" class="document-main-leaderboard-ad col-12"><xpl-leaderboard-ad
_ngcontent-dql-c215="" class="hide-desktop" _nghost-dql-c91="">
<div _ngcontent-dql-c91="" class="Ads-leaderboard ad-panel">
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<div _ngcontent-dql-c91="" class="ads-close-container"><i _ngcontent-dql-c91="" aria-hidden="true"
class="ads-close-button"></i></div><!---->
</div>
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height:71px; display:block; margin: 0 auto; padding-bottom: 0.5em;"></div>
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height:50px; display:block; margin: 0 auto; padding-bottom: 0.5em;"></div>
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</xpl-leaderboard-ad><!----></section><!---->
<section _ngcontent-dql-c215="" class="document-main-header row g-0">
<div _ngcontent-dql-c215="" class="col-12"><xpl-document-header _ngcontent-dql-c215=""
_nghost-dql-c166="">
<section _ngcontent-dql-c166="" class="document-header row g-0">
<div _ngcontent-dql-c166="" class="document-header-breadcrumbs-container col-12">
<div _ngcontent-dql-c166="" class="breadcrumbs col text-sm-md-lh"><span _ngcontent-dql-c166=""><a
_ngcontent-dql-c166="">Journals & Magazines</a><!----><!----><span
_ngcontent-dql-c166="" class="breadcrumbs-separator"> ></span></span><span
_ngcontent-dql-c166=""><a _ngcontent-dql-c166="">IEEE Transactions on
Circuits...</a><!----><!----><span _ngcontent-dql-c166="" class="breadcrumbs-separator">
></span></span><span _ngcontent-dql-c166=""><a _ngcontent-dql-c166="">Volume: 31 Issue:
3</a><!----><!----><span _ngcontent-dql-c166=""
class="breadcrumbs-separator"></span></span><!----><xpl-help-link _ngcontent-dql-c166=""
id="help" tooltiptype="breadcrumb" _nghost-dql-c60=""><a _ngcontent-dql-c60="" target="_blank"
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<div _ngcontent-dql-c166="" class="document-header-inner-container row g-0"><!---->
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<div _ngcontent-dql-c166="" class="row g-0 stats-document-header">
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<div _ngcontent-dql-c166="" class="left-container w-100">
<h1 _ngcontent-dql-c166="" class="document-title text-2xl-md-lh"><span
_ngcontent-dql-c166="">Annotation and Benchmarking of a Video Dataset under Degraded
Complex Atmospheric Conditions and Its Visibility Enhancement Analysis for Moving
Object Detection</span></h1>
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_ngcontent-dql-c135="" class="title">Publisher: </span><!----><span
_ngcontent-dql-c135="">IEEE</span></span></span><!----><!----></span><!----></xpl-publisher>
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class="xpl-btn-pdf doc-actions-link stats-document-lh-action-downloadPdf_3"><i
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_ngcontent-dql-c159="" class="authors-info"><span _ngcontent-dql-c159=""
class="blue-tooltip"><a _ngcontent-dql-c159="" triggers="hover"><span
_ngcontent-dql-c159="">Sourav Dey
Roy</span><!----></a><!----><!----><!----><!----></span><!----><!----><span
_ngcontent-dql-c159="" class="u-px-02"><xpl-orcid
_ngcontent-dql-c159="" _nghost-dql-c59=""><a _ngcontent-dql-c59=""
target="_blank"
aria-label="Open Researcher and Contributor Identifier (ORCID)"><i
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class="icon icon-orcid"></i></a><!----></xpl-orcid></span><!----><span
_ngcontent-dql-c159="">; </span><!----></span><span
_ngcontent-dql-c159="" class="authors-info"><span _ngcontent-dql-c159=""
class="blue-tooltip"><a _ngcontent-dql-c159="" triggers="hover"><span
_ngcontent-dql-c159="">Mrinal Kanti
Bhowmik</span><!----></a><!----><!----><!----><!----></span><!----><!----><span
_ngcontent-dql-c159="" class="u-px-02"><xpl-orcid
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target="_blank"
aria-label="Open Researcher and Contributor Identifier (ORCID)"><i
_ngcontent-dql-c59=""
class="icon icon-orcid"></i></a><!----></xpl-orcid></span><!----><span
_ngcontent-dql-c159=""></span><!----></span><!----></div>
</div>
</div><!---->
</div>
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</xpl-author-banner>
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class="u-flex-display-flex u-flex-align-items-center nowrap text-base-md-lh">
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_nghost-dql-c165="">
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class="icon-size-md doc-actions py-3 doc-toolbar stats-document-lh-actions black-tooltip">
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class="doc-actions-item white-blue-border-tooltip save-to disabled-look enable-hover">
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aria-label="Sign In with personal account required for save to project"><i
_ngcontent-dql-c165=""
class="icon-size-md color-xplore-blue fas fa-folder-open"></i></a><!---->
</li><!---->
<li _ngcontent-dql-c165="" class="doc-actions-item"><xpl-manage-alerts
_ngcontent-dql-c165="" class="white-blue-border-tooltip alerts-popover"
_nghost-dql-c164=""><!----><a _ngcontent-dql-c164="" triggers="click:click"
aria-label="Set Search Alert"
class="doc-actions-link stats-document-lh-action-alerts hide-mobile"><i
_ngcontent-dql-c164=""
class="icon-size-md color-xplore-blue fas fa-bell"></i><span
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class="manage-alerts-popover-content hide-desktop">
<h1 _ngcontent-dql-c164="" class="header">Alerts</h1>
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_ngcontent-dql-c164="" aria-label="Manage Content Alerts"> Manage
Content Alerts <i _ngcontent-dql-c164=""
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_ngcontent-dql-c164="" aria-label="Add to Citation Alerts"> Add to
Citation Alerts <i _ngcontent-dql-c164=""
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_ngcontent-dql-c215="" _nghost-dql-c169="">
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class="icon xpl-pdf-icon fas fa-file-pdf"></i> Download PDF
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aria-label="Copyright request permission for reuse"
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class="copyright-icon far fa-copyright"></i> Request Permissions </a><!----><!----></li>
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_ngcontent-dql-c169="" triggers="click" autoclose="outside"
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class="icon-size-md color-xplore-blue fas fa-folder-open"></i> Save to
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</xpl-left-side-bar><!---->
<section _ngcontent-dql-c215=""
class="tab-pane col-24-24 u-printing-display-inline-ie u-printing-display-inline-ff">
<div _ngcontent-dql-c215="" id="mobile-tab-pane"></div><!---->
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<div _ngcontent-dql-c215="" id=""><router-outlet
_ngcontent-dql-c215=""></router-outlet><xpl-document-abstract _nghost-dql-c173="">
<section _ngcontent-dql-c173="" class="document-abstract document-tab"><!---->
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<div _ngcontent-dql-c173="" class="mobile-col-12"><!----><!---->
<div _ngcontent-dql-c173="" class="u-pb-1">
<h2 _ngcontent-dql-c173=""> Abstract:</h2><span _ngcontent-dql-c173=""
xplmathjax="">Detection of moving objects in outdoor environments is an extremely
researched topic. However, studies on moving object detection in complex
atmospheric/weather condition...</span><span _ngcontent-dql-c173=""><a
_ngcontent-dql-c173="" class="mobile-toggle-btn">View more</a></span><!---->
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class="metadata-toggle-btn mobile-content">
<h2 _ngcontent-dql-c173="" class="u-flex-display-flex"><i _ngcontent-dql-c173=""
class="color-xplore-blue far icon-size-md u-pr-02 fa-angle-down"></i> Metadata </h2>
</div><!----><!---->
</div>
<div _ngcontent-dql-c173="" class="abstract-desktop-div hide-mobile text-base-md-lh"><!---->
<div _ngcontent-dql-c173="" class="abstract-text row g-0"><!---->
<div _ngcontent-dql-c173="" class="col-12"><!----><!---->
<div _ngcontent-dql-c173="" class="u-mb-1">
<h2 _ngcontent-dql-c173=""> Abstract:</h2>
<div _ngcontent-dql-c173="" xplmathjax="">Detection of moving objects in outdoor
environments is an extremely researched topic. However, studies on moving object
detection in complex atmospheric/weather conditions are limited, primarily because
of the absence of any relevant benchmark dataset. To address this disparity, we
introduce a novel benchmark video dataset entitled “Extended Tripura University
Video Dataset (E-TUVD)” which is a diverse dataset of complex atmospheric/weather
conditions. Currently, E-TUVD is the largest video dataset for moving object
detection under degraded atmospheric/weather conditions. The dataset comprises 147
video clips spanning 1-5 minutes in duration of each video clips. Because of the
requirement of evaluating any object detection model, this study emphasizes on
generation of ground-truth images of salient moving objects on E-TUVD. Using this
dataset, we assessed the performance of several state-of-the-art algorithms,
considering both the ability to detect moving objects and visibility enhancement
under such complex conditions. The method with the best performance was used to
investigate the effectiveness of visibility enhancement of atmospheric/weather
degraded image sequences for accurate moving object detection. Results and analysis
reveal that effective enhancement can significantly improve the ability of detection
algorithms under degraded atmospheric/weather conditions to resemble the true
properties of moving objects in terms of pixel oriented binary masks.</div>
</div><!----><!----><!---->
</div><!---->
</div><!----><!----><!----><!---->
<div _ngcontent-dql-c173="" data-tealium_data="{"docType": "Journal"}"
class="u-pb-1 stats-document-abstract-publishedIn"><strong
_ngcontent-dql-c173="">Published in: </strong><a _ngcontent-dql-c173=""
class="stats-document-abstract-publishedIn">IEEE Transactions on Circuits and Systems
for Video Technology</a><!----><!----><span _ngcontent-dql-c173=""> ( <span
_ngcontent-dql-c173="">Volume: 31</span><!----><span _ngcontent-dql-c173="">, <a
_ngcontent-dql-c173="" class="stats-document-abstract-publishedIn-issue">Issue:
3</a><!----><!----><span _ngcontent-dql-c173="">, March
2021</span><!----></span><!---->) </span><!----><!----><!----></div>
<!----><!----><!---->
<div _ngcontent-dql-c173="" class="row g-0 u-pt-1">
<div _ngcontent-dql-c173="" class="col-6"><!---->
<div _ngcontent-dql-c173="" class="u-pb-1"><strong _ngcontent-dql-c173="">Page(s):
</strong> 844 <span _ngcontent-dql-c173="">- 862</span><!----></div><!----><!---->
<div _ngcontent-dql-c173="" class="u-pb-1 doc-abstract-pubdate"><strong
_ngcontent-dql-c173="">Date of Publication:</strong> 29 April 2020 <xpl-help-link
_ngcontent-dql-c173="" arialabel="Get help with using Publication Dates"
helplinktext="Help with using Publication Dates"
helplink="http://ieeexplore.ieee.org/Xplorehelp/Help_Pubdates.html"
_nghost-dql-c60=""><a _ngcontent-dql-c60="" target="_blank"
tooltipclass="helplink-tooltip" triggers="hover"
class="icon-size-md u-flex-display-inline"
aria-label="Get help with using Publication Dates"><i _ngcontent-dql-c60=""
class="fa fa-question-circle help-link help-link-icon"></i></a><!----><!----></xpl-help-link>
</div><!----><!----><!----><!----><!----><!----><!---->
<div _ngcontent-dql-c173="" class="u-pb-1">
<div _ngcontent-dql-c173="" tabindex="0" role="button">
<h2 _ngcontent-dql-c173="" class="u-flex-display-flex"><i _ngcontent-dql-c173=""
class="color-xplore-blue far icon-size-md u-pr-02 fa-angle-down"></i> ISSN
Information: </h2>
</div><!----><!---->
</div><!----><!---->
</div>
<div _ngcontent-dql-c173="" class="col-6"><!---->
<div _ngcontent-dql-c173="" class="u-pb-1 stats-document-abstract-doi"><strong
_ngcontent-dql-c173="">DOI: </strong><a _ngcontent-dql-c173=""
append-to-href="?src=document"
target="_blank">10.1109/TCSVT.2020.2991191</a><!----><!----></div>
<!----><!----><!----><!---->
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_ngcontent-dql-c135="" xplhighlight=""><span _ngcontent-dql-c135=""><span
_ngcontent-dql-c135="" class="title">Publisher: </span><!----><span
_ngcontent-dql-c135="">IEEE</span></span></span><!----><!----></span><!----></xpl-publisher>
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<h3>I. Introduction</h3>
<p>Moving object detection has been an active and mature research area in numerous
computer vision applications because of the increasing demand of video surveillance
for security applications. Fundamentally, it is often considered to be a
pre-processing step and a low level task in computer vision applications, which is
interconnected with high level inference tasks such as object localization,
tracking, and classification. Its importance can be anticipated by visualizing the
numerous articles published till date on this topic. Each moving object detection
algorithm is designed to competently address the inherent real-world challenges of
indoor/outdoor scenes, including illumination changes, dynamic backgrounds, ghosting
artifacts, shadows, camouflage effects, etc. [1]–[3]. However, because outdoor
scenes can be degraded by different complex atmospheric/weather conditions, moving
object detection is more complicated under such conditions. Generally, the
North-Eastern (NE) states, along with other states of India, share multiple
international borders, because of which, security plays a vital role in such states.
Under extreme atmospheric/weather conditions, outdoor scenes undergo from
degradation, and suspicious intruders may not be detected by unaided human vision
because of the high loss in contrast. Consequently, electronic surveillance plays an
important role in detecting illegal threats to the state and for real-time detection
of suspicious activities.</p>
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</main>
</body>
<div>
<div style="position: fixed; top: 0px; left: 0px; width: 100dvw; height: 100dvh; pointer-events: none;"></div>
</div>
<div style="z-index: 2147483647; position: fixed; overflow: visible; width: auto; top: 0px; left: 0px;">
<div data-dashlane-shadowhost="true"></div>
</div>If you pass the above HTML to extractFromHtml(), it will fail because the required properties such as title and url are impossible to detect.
It expects HTML with standard structure, a title and some meta tags, e.g:
<html>
<head>
<meta charset="utf-8" />
<meta property="og:url" content="{a valid url here}" />
<title>any title string</title>
</head>
<body>
// put the above content into here
</body>
</html>You can add a url into the above HTML as meta tag, or specify via the second parameter of extractFromHtml():
const article = await extractFromHtml(ABOVE_HTML, 'https://ieeexplore.ieee.org/abstract/document/9082053')
console.log(article)It may return some like below:
{
url: 'https://ieeexplore.ieee.org/abstract/document/9082053',
title: 'any title string',
description: 'Download PDF Download References Request Permissions Save to...',
links: [ 'https://ieeexplore.ieee.org/abstract/document/9082053' ],
image: '',
content: '<div>\n' +
'\t\t\t\t\t\t\t\t\t<div>\n' +
'\t\t\t\t\t\t\t\t\t\t\t<ul>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t<a title="You do not have access to this PDF"><i></i> Download PDF\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t</a></li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<li><a><i></i> Download References\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t</a></li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<li><a title="Request permission for reuse."><i></i> Request Permissions </a></li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<li><a><i></i> Save to\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t</a></li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<li><a><i></i> Alerts </a>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t</li>\n' +
'\t\t\t\t\t\t\t\t\t\t\t</ul>\n' +
'\t\t\t\t\t\t\t\t\t\t</div>\n' +
'\t\t\t\t\t\t\t\t<div>\n' +
'\t\t\t\t\t\t\t\t\t\t<div>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t<section>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t<div>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h2> Abstract:</h2><p><span>Detection of moving objects in outdoor environments is an extremely\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tresearched topic. However, studies on moving object detection in complex\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tatmospheric/weather condition...</span><span><a>View more</a></span></p>\n' +
'\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t</div>\n' +
//... more content here
The page URL is IEEE Explorer.
We have applied special filter to only pass the text-heavy elements into the parser, but I still get
undefinedfromextractFromHtml.Any idea of the possible reason?