Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos

Abstract only This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ACM SIGMM records 2020-03, Vol.12 (1), p.1-1
Hauptverfasser: Malon, Thierry, Jimenez, Geoffrey Roman, Guyot, Patrice, Chambon, Sylvie, Charvillat, Vincent, Crouzil, Alain, Péninou, André, Pinquier, Julien, Sèdes, Florence, Sénac, Christine
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1
container_issue 1
container_start_page 1
container_title ACM SIGMM records
container_volume 12
creator Malon, Thierry
Jimenez, Geoffrey Roman
Guyot, Patrice
Chambon, Sylvie
Charvillat, Vincent
Crouzil, Alain
Péninou, André
Pinquier, Julien
Sèdes, Florence
Sénac, Christine
description Abstract only This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding bounding boxes, as well as audio events. The annotation was performed in order to i) enhance audiovisual objects that can be visible, audible or both, according to each recording location, and ii) uniquely identify all objects in each of the two scenes. All videos have been "anonymized". The dataset is available for download.
doi_str_mv 10.1145/3548555.3548560
format Article
fullrecord <record><control><sourceid>hal_cross</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_03763498v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>oai_HAL_hal_03763498v1</sourcerecordid><originalsourceid>FETCH-LOGICAL-c741-539435f30427b6adb998284328f3f93aa413d60a676d2ed4fcd150455cac3ab83</originalsourceid><addsrcrecordid>eNpNkDFvwjAUhK2qlYooc9esHQJ2nu3Y3RC0UAmpC7v1sB3hKsQoDiD66wslqvqWezrd3fAR8szomDEuJiC4EkKMf1XSOzJgmpc5F1rd__sfySilL3o50FRKNSCLOXaYfJfZWB92zWu2jjOcY-Z6-xS6bbY71F3Ij8Gf9jE0XZbOjd22sQnf3mXH4HxMT-Shwjr5Ua9Dsn5_W8-W-epz8TGbrnJbcpYL0BxEBZQX5Uai22itCsWhUBVUGhA5AycpylK6wjteWccE5UJYtIAbBUPycpvdYm32bdhhezYRg1lOV-bqUSglcK2O7JKd3LK2jSm1vvorMGqu1ExPzfTU4AdlGl4O</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos</title><source>ACM Digital Library Complete</source><creator>Malon, Thierry ; Jimenez, Geoffrey Roman ; Guyot, Patrice ; Chambon, Sylvie ; Charvillat, Vincent ; Crouzil, Alain ; Péninou, André ; Pinquier, Julien ; Sèdes, Florence ; Sénac, Christine</creator><creatorcontrib>Malon, Thierry ; Jimenez, Geoffrey Roman ; Guyot, Patrice ; Chambon, Sylvie ; Charvillat, Vincent ; Crouzil, Alain ; Péninou, André ; Pinquier, Julien ; Sèdes, Florence ; Sénac, Christine</creatorcontrib><description>Abstract only This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding bounding boxes, as well as audio events. The annotation was performed in order to i) enhance audiovisual objects that can be visible, audible or both, according to each recording location, and ii) uniquely identify all objects in each of the two scenes. All videos have been "anonymized". The dataset is available for download.</description><identifier>ISSN: 1947-4598</identifier><identifier>EISSN: 1947-4598</identifier><identifier>DOI: 10.1145/3548555.3548560</identifier><language>eng</language><publisher>ACM</publisher><subject>Artificial Intelligence ; Computer Science ; Social and Information Networks</subject><ispartof>ACM SIGMM records, 2020-03, Vol.12 (1), p.1-1</ispartof><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c741-539435f30427b6adb998284328f3f93aa413d60a676d2ed4fcd150455cac3ab83</cites><orcidid>0000-0002-2355-5901 ; 0000-0002-0822-3714 ; 0000-0001-7040-2978 ; 0000-0003-1556-1284 ; 0000-0001-9512-6340 ; 0000-0001-8104-1637 ; 0000-0001-6387-0079 ; 0000-0002-9273-302X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://imt-mines-ales.hal.science/hal-03763498$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Malon, Thierry</creatorcontrib><creatorcontrib>Jimenez, Geoffrey Roman</creatorcontrib><creatorcontrib>Guyot, Patrice</creatorcontrib><creatorcontrib>Chambon, Sylvie</creatorcontrib><creatorcontrib>Charvillat, Vincent</creatorcontrib><creatorcontrib>Crouzil, Alain</creatorcontrib><creatorcontrib>Péninou, André</creatorcontrib><creatorcontrib>Pinquier, Julien</creatorcontrib><creatorcontrib>Sèdes, Florence</creatorcontrib><creatorcontrib>Sénac, Christine</creatorcontrib><title>Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos</title><title>ACM SIGMM records</title><description>Abstract only This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding bounding boxes, as well as audio events. The annotation was performed in order to i) enhance audiovisual objects that can be visible, audible or both, according to each recording location, and ii) uniquely identify all objects in each of the two scenes. All videos have been "anonymized". The dataset is available for download.</description><subject>Artificial Intelligence</subject><subject>Computer Science</subject><subject>Social and Information Networks</subject><issn>1947-4598</issn><issn>1947-4598</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpNkDFvwjAUhK2qlYooc9esHQJ2nu3Y3RC0UAmpC7v1sB3hKsQoDiD66wslqvqWezrd3fAR8szomDEuJiC4EkKMf1XSOzJgmpc5F1rd__sfySilL3o50FRKNSCLOXaYfJfZWB92zWu2jjOcY-Z6-xS6bbY71F3Ij8Gf9jE0XZbOjd22sQnf3mXH4HxMT-Shwjr5Ua9Dsn5_W8-W-epz8TGbrnJbcpYL0BxEBZQX5Uai22itCsWhUBVUGhA5AycpylK6wjteWccE5UJYtIAbBUPycpvdYm32bdhhezYRg1lOV-bqUSglcK2O7JKd3LK2jSm1vvorMGqu1ExPzfTU4AdlGl4O</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Malon, Thierry</creator><creator>Jimenez, Geoffrey Roman</creator><creator>Guyot, Patrice</creator><creator>Chambon, Sylvie</creator><creator>Charvillat, Vincent</creator><creator>Crouzil, Alain</creator><creator>Péninou, André</creator><creator>Pinquier, Julien</creator><creator>Sèdes, Florence</creator><creator>Sénac, Christine</creator><general>ACM</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-2355-5901</orcidid><orcidid>https://orcid.org/0000-0002-0822-3714</orcidid><orcidid>https://orcid.org/0000-0001-7040-2978</orcidid><orcidid>https://orcid.org/0000-0003-1556-1284</orcidid><orcidid>https://orcid.org/0000-0001-9512-6340</orcidid><orcidid>https://orcid.org/0000-0001-8104-1637</orcidid><orcidid>https://orcid.org/0000-0001-6387-0079</orcidid><orcidid>https://orcid.org/0000-0002-9273-302X</orcidid></search><sort><creationdate>202003</creationdate><title>Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos</title><author>Malon, Thierry ; Jimenez, Geoffrey Roman ; Guyot, Patrice ; Chambon, Sylvie ; Charvillat, Vincent ; Crouzil, Alain ; Péninou, André ; Pinquier, Julien ; Sèdes, Florence ; Sénac, Christine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c741-539435f30427b6adb998284328f3f93aa413d60a676d2ed4fcd150455cac3ab83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Artificial Intelligence</topic><topic>Computer Science</topic><topic>Social and Information Networks</topic><toplevel>online_resources</toplevel><creatorcontrib>Malon, Thierry</creatorcontrib><creatorcontrib>Jimenez, Geoffrey Roman</creatorcontrib><creatorcontrib>Guyot, Patrice</creatorcontrib><creatorcontrib>Chambon, Sylvie</creatorcontrib><creatorcontrib>Charvillat, Vincent</creatorcontrib><creatorcontrib>Crouzil, Alain</creatorcontrib><creatorcontrib>Péninou, André</creatorcontrib><creatorcontrib>Pinquier, Julien</creatorcontrib><creatorcontrib>Sèdes, Florence</creatorcontrib><creatorcontrib>Sénac, Christine</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>ACM SIGMM records</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Malon, Thierry</au><au>Jimenez, Geoffrey Roman</au><au>Guyot, Patrice</au><au>Chambon, Sylvie</au><au>Charvillat, Vincent</au><au>Crouzil, Alain</au><au>Péninou, André</au><au>Pinquier, Julien</au><au>Sèdes, Florence</au><au>Sénac, Christine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos</atitle><jtitle>ACM SIGMM records</jtitle><date>2020-03</date><risdate>2020</risdate><volume>12</volume><issue>1</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1947-4598</issn><eissn>1947-4598</eissn><abstract>Abstract only This column describes the release of the Toulouse Campus Surveillance Dataset (ToCaDa). It consists of 25 synchronized videos (with audio) of two scenes recorded from different viewpoints of the campus. An extensive manual annotation comprises all moving objects and their corresponding bounding boxes, as well as audio events. The annotation was performed in order to i) enhance audiovisual objects that can be visible, audible or both, according to each recording location, and ii) uniquely identify all objects in each of the two scenes. All videos have been "anonymized". The dataset is available for download.</abstract><pub>ACM</pub><doi>10.1145/3548555.3548560</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2355-5901</orcidid><orcidid>https://orcid.org/0000-0002-0822-3714</orcidid><orcidid>https://orcid.org/0000-0001-7040-2978</orcidid><orcidid>https://orcid.org/0000-0003-1556-1284</orcidid><orcidid>https://orcid.org/0000-0001-9512-6340</orcidid><orcidid>https://orcid.org/0000-0001-8104-1637</orcidid><orcidid>https://orcid.org/0000-0001-6387-0079</orcidid><orcidid>https://orcid.org/0000-0002-9273-302X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1947-4598
ispartof ACM SIGMM records, 2020-03, Vol.12 (1), p.1-1
issn 1947-4598
1947-4598
language eng
recordid cdi_hal_primary_oai_HAL_hal_03763498v1
source ACM Digital Library Complete
subjects Artificial Intelligence
Computer Science
Social and Information Networks
title Dataset column: ToCaDa dataset with multi-viewpoint synchronized videos
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T15%3A54%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-hal_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dataset%20column:%20ToCaDa%20dataset%20with%20multi-viewpoint%20synchronized%20videos&rft.jtitle=ACM%20SIGMM%20records&rft.au=Malon,%20Thierry&rft.date=2020-03&rft.volume=12&rft.issue=1&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=1947-4598&rft.eissn=1947-4598&rft_id=info:doi/10.1145/3548555.3548560&rft_dat=%3Chal_cross%3Eoai_HAL_hal_03763498v1%3C/hal_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true