Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments

Recently, an increasing need for sophisticated multimedia analytics tools has been observed, which is triggered by a rapid growth of multimedia collections and by an increasing number of scientific fields embedding images in their studies. Although temporal data is ubiquitous and crucial in many app...

Full description

Saved in:
Bibliographic Details
Published in:Multimedia tools and applications 2019-12, Vol.78 (23), p.32779-32804
Main Authors: Del Fatto, Vincenzo, Dignös, Anton, Raimato, Guerriero, Maccioni, Lorenzo, Borgianni, Yuri, Gamper, Johann
Format: Article
Language:English
Subjects:
Computer Communication Networks
Computer Science
Data analysis
Data Structures and Information Theory
Decision analysis
Mathematical analysis
Multimedia
Multimedia Information Systems
Special Purpose and Application-Based Systems
Tracking
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683
cites cdi_FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683
container_end_page 32804
container_issue 23
container_start_page 32779
container_title Multimedia tools and applications
container_volume 78
creator Del Fatto, Vincenzo
Dignös, Anton
Raimato, Guerriero
Maccioni, Lorenzo
Borgianni, Yuri
Gamper, Johann
description Recently, an increasing need for sophisticated multimedia analytics tools has been observed, which is triggered by a rapid growth of multimedia collections and by an increasing number of scientific fields embedding images in their studies. Although temporal data is ubiquitous and crucial in many applications, such tools typically do not support the analysis of data along the temporal dimension, especially for time periods. An appropriate visualization and comparison of period data associated with multimedia collections would help users to infer new information from such collections. In this paper, we present a novel multimedia analytics application for summarizing and analyzing temporal data from eye-tracking experiments. The application combines three different visual approaches: Time ∘ diff , visual-information-seeking mantra, and multi-viewpoint. A qualitative evaluation with domain experts confirmed that our application helps decision makers to summarize and analyze multimedia collections containing period data.
doi_str_mv 10.1007/s11042-019-07950-1
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2255979223</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2255979223</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683</originalsourceid><addsrcrecordid>eNp9UMtKAzEUDaJgrf6Aq4Dr6E0ymcy4k-ILCm7UbUiTTEmdl8mMWL_etFNw5-q-zjn3cBC6pHBNAeRNpBQyRoCWBGQpgNAjNKNCciIlo8ep5wUQKYCeorMYNwA0Fyyboa93H0dd48E3Dvcu-M5i3ep6G328xRo3Y707Wa-n9eBNxLrva2_04LsWV13AcWwaHfyPb9cJdRDYT27ryBC0-dgP37sHjWuHeI5OKl1Hd3Goc_T2cP-6eCLLl8fnxd2SGE7LgZS6shIoM1zYVZZrUzIGLhe55hXofOUoVFm2ElkuXeEsA2uENVlBLWMG8oLP0dWk24fuc3RxUJtuDMleVIwJUcokyBOKTSgTuhiDq1SffOqwVRTULl815atSvmqfr6KJxCdSTOB27cKf9D-sX6BKgF8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2255979223</pqid></control><display><type>article</type><title>Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments</title><source>ABI/INFORM Global (ProQuest)</source><source>Springer Nature</source><creator>Del Fatto, Vincenzo ; Dignös, Anton ; Raimato, Guerriero ; Maccioni, Lorenzo ; Borgianni, Yuri ; Gamper, Johann</creator><creatorcontrib>Del Fatto, Vincenzo ; Dignös, Anton ; Raimato, Guerriero ; Maccioni, Lorenzo ; Borgianni, Yuri ; Gamper, Johann</creatorcontrib><description>Recently, an increasing need for sophisticated multimedia analytics tools has been observed, which is triggered by a rapid growth of multimedia collections and by an increasing number of scientific fields embedding images in their studies. Although temporal data is ubiquitous and crucial in many applications, such tools typically do not support the analysis of data along the temporal dimension, especially for time periods. An appropriate visualization and comparison of period data associated with multimedia collections would help users to infer new information from such collections. In this paper, we present a novel multimedia analytics application for summarizing and analyzing temporal data from eye-tracking experiments. The application combines three different visual approaches: Time ∘ diff , visual-information-seeking mantra, and multi-viewpoint. A qualitative evaluation with domain experts confirmed that our application helps decision makers to summarize and analyze multimedia collections containing period data.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-019-07950-1</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Computer Communication Networks ; Computer Science ; Data analysis ; Data Structures and Information Theory ; Decision analysis ; Mathematical analysis ; Multimedia ; Multimedia Information Systems ; Special Purpose and Application-Based Systems ; Tracking</subject><ispartof>Multimedia tools and applications, 2019-12, Vol.78 (23), p.32779-32804</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Multimedia Tools and Applications is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683</citedby><cites>FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683</cites><orcidid>0000-0003-1084-4701</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2255979223/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2255979223?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74895</link.rule.ids></links><search><creatorcontrib>Del Fatto, Vincenzo</creatorcontrib><creatorcontrib>Dignös, Anton</creatorcontrib><creatorcontrib>Raimato, Guerriero</creatorcontrib><creatorcontrib>Maccioni, Lorenzo</creatorcontrib><creatorcontrib>Borgianni, Yuri</creatorcontrib><creatorcontrib>Gamper, Johann</creatorcontrib><title>Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>Recently, an increasing need for sophisticated multimedia analytics tools has been observed, which is triggered by a rapid growth of multimedia collections and by an increasing number of scientific fields embedding images in their studies. Although temporal data is ubiquitous and crucial in many applications, such tools typically do not support the analysis of data along the temporal dimension, especially for time periods. An appropriate visualization and comparison of period data associated with multimedia collections would help users to infer new information from such collections. In this paper, we present a novel multimedia analytics application for summarizing and analyzing temporal data from eye-tracking experiments. The application combines three different visual approaches: Time ∘ diff , visual-information-seeking mantra, and multi-viewpoint. A qualitative evaluation with domain experts confirmed that our application helps decision makers to summarize and analyze multimedia collections containing period data.</description><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Data analysis</subject><subject>Data Structures and Information Theory</subject><subject>Decision analysis</subject><subject>Mathematical analysis</subject><subject>Multimedia</subject><subject>Multimedia Information Systems</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Tracking</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp9UMtKAzEUDaJgrf6Aq4Dr6E0ymcy4k-ILCm7UbUiTTEmdl8mMWL_etFNw5-q-zjn3cBC6pHBNAeRNpBQyRoCWBGQpgNAjNKNCciIlo8ep5wUQKYCeorMYNwA0Fyyboa93H0dd48E3Dvcu-M5i3ep6G328xRo3Y707Wa-n9eBNxLrva2_04LsWV13AcWwaHfyPb9cJdRDYT27ryBC0-dgP37sHjWuHeI5OKl1Hd3Goc_T2cP-6eCLLl8fnxd2SGE7LgZS6shIoM1zYVZZrUzIGLhe55hXofOUoVFm2ElkuXeEsA2uENVlBLWMG8oLP0dWk24fuc3RxUJtuDMleVIwJUcokyBOKTSgTuhiDq1SffOqwVRTULl815atSvmqfr6KJxCdSTOB27cKf9D-sX6BKgF8</recordid><startdate>20191201</startdate><enddate>20191201</enddate><creator>Del Fatto, Vincenzo</creator><creator>Dignös, Anton</creator><creator>Raimato, Guerriero</creator><creator>Maccioni, Lorenzo</creator><creator>Borgianni, Yuri</creator><creator>Gamper, Johann</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-1084-4701</orcidid></search><sort><creationdate>20191201</creationdate><title>Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments</title><author>Del Fatto, Vincenzo ; Dignös, Anton ; Raimato, Guerriero ; Maccioni, Lorenzo ; Borgianni, Yuri ; Gamper, Johann</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Data analysis</topic><topic>Data Structures and Information Theory</topic><topic>Decision analysis</topic><topic>Mathematical analysis</topic><topic>Multimedia</topic><topic>Multimedia Information Systems</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Del Fatto, Vincenzo</creatorcontrib><creatorcontrib>Dignös, Anton</creatorcontrib><creatorcontrib>Raimato, Guerriero</creatorcontrib><creatorcontrib>Maccioni, Lorenzo</creatorcontrib><creatorcontrib>Borgianni, Yuri</creatorcontrib><creatorcontrib>Gamper, Johann</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer science database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Computing Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Del Fatto, Vincenzo</au><au>Dignös, Anton</au><au>Raimato, Guerriero</au><au>Maccioni, Lorenzo</au><au>Borgianni, Yuri</au><au>Gamper, Johann</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>78</volume><issue>23</issue><spage>32779</spage><epage>32804</epage><pages>32779-32804</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>Recently, an increasing need for sophisticated multimedia analytics tools has been observed, which is triggered by a rapid growth of multimedia collections and by an increasing number of scientific fields embedding images in their studies. Although temporal data is ubiquitous and crucial in many applications, such tools typically do not support the analysis of data along the temporal dimension, especially for time periods. An appropriate visualization and comparison of period data associated with multimedia collections would help users to infer new information from such collections. In this paper, we present a novel multimedia analytics application for summarizing and analyzing temporal data from eye-tracking experiments. The application combines three different visual approaches: Time ∘ diff , visual-information-seeking mantra, and multi-viewpoint. A qualitative evaluation with domain experts confirmed that our application helps decision makers to summarize and analyze multimedia collections containing period data.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-019-07950-1</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-1084-4701</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1380-7501
ispartof Multimedia tools and applications, 2019-12, Vol.78 (23), p.32779-32804
issn 1380-7501
1573-7721
language eng
recordid cdi_proquest_journals_2255979223
source ABI/INFORM Global (ProQuest); Springer Nature
subjects Computer Communication Networks
Computer Science
Data analysis
Data Structures and Information Theory
Decision analysis
Mathematical analysis
Multimedia
Multimedia Information Systems
Special Purpose and Application-Based Systems
Tracking
title Visual time period analysis: a multimedia analytics application for summarizing and analyzing eye-tracking experiments
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T13%3A04%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Visual%20time%20period%20analysis:%20a%20multimedia%20analytics%20application%20for%20summarizing%20and%20analyzing%20eye-tracking%20experiments&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Del%20Fatto,%20Vincenzo&rft.date=2019-12-01&rft.volume=78&rft.issue=23&rft.spage=32779&rft.epage=32804&rft.pages=32779-32804&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-019-07950-1&rft_dat=%3Cproquest_cross%3E2255979223%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c319t-9afd7012c35db46ac9220e656a3f0a6be10f44b5467e8ed20dc5dc481d22c0683%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2255979223&rft_id=info:pmid/&rfr_iscdi=true