Loading…

Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings

Eliminating time-consuming post-prodution processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFi...

Full description

Saved in:

Bibliographic Details
Main Authors:	Achary, Sudheer, Girmaji, Rohit, Deshmukh, Adhiraj Anil, Gandhi, Vineet
Format:	Conference Proceeding
Language:	English
Subjects:	Algorithms Applications Broadcasting Cameras Computational photography Computer vision Embedded sensing / real-time techniques image and video synthesis Industries Multimedia communication Real-time systems Social networking (online) Virtual / augmented reality
Online Access:	Request full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by
cites
container_end_page	4104
container_issue
container_start_page	4096
container_title
container_volume
creator	Achary, Sudheer Girmaji, Rohit Deshmukh, Adhiraj Anil Gandhi, Vineet
description	Eliminating time-consuming post-prodution processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFilter, a novel real-time camera trajectory stabilization approach. It enables users to create professionally edited videos in real-time. Comparative evaluations against baseline methods, including the non-real-time GAZED, demonstrate that Real Time GAZED achieves similar editing results, ensuring high-quality video output. Furthermore, a user study confirms the aesthetic quality of the video edits produced by the Real Time GAZED approach. With these advancements in real-time camera trajectory optimization and video editing presented, the demand for immediate and dynamic content creation in industries such as live broadcasting, sports coverage, news reporting, and social media content creation can be met more efficiently.
doi_str_mv	10.1109/WACV57701.2024.00406
format	conference_proceeding
fullrecord	<record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10483706</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10483706</ieee_id><sourcerecordid>10483706</sourcerecordid><originalsourceid>FETCH-LOGICAL-i119t-d11f783c3744fc0cc394928d4ea089460e19b93f31baafcfb007629913f4df573</originalsourceid><addsrcrecordid>eNotjNFOwjAUQKuJiYj8AQ_9geHtWtZd35aJaIIhAYTEF1LaW6zZVrKNB_5eEn06L-ccxsYCJkIAPu2KcjvVGsQkhVRNABRkN2yEGnM5BSlyTOGWDdJMpQnKXNyzh677AZAoUA7YaUWm4ptQE58XX7OXZ75sqtAQX3_Hnq-pItuH2HDTOD5zoQ_NkUfPt6Htz9ewNDW1puO-jTXfBUdJ0Rwr4h-xifZcmfZqOop8RTa27hp3j-zOm6qj0T-H7PN1tinfksVy_l4WiyQIgX3ihPA6l1ZqpbwFayUqTHOnyECOKgMSeEDppTgY460_AOgsRRTSK-enWg7Z-O8biGh_akNt2stegMqlhkz-AkZgWgU</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings</title><source>IEEE Xplore All Conference Series</source><creator>Achary, Sudheer ; Girmaji, Rohit ; Deshmukh, Adhiraj Anil ; Gandhi, Vineet</creator><creatorcontrib>Achary, Sudheer ; Girmaji, Rohit ; Deshmukh, Adhiraj Anil ; Gandhi, Vineet</creatorcontrib><description>Eliminating time-consuming post-prodution processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFilter, a novel real-time camera trajectory stabilization approach. It enables users to create professionally edited videos in real-time. Comparative evaluations against baseline methods, including the non-real-time GAZED, demonstrate that Real Time GAZED achieves similar editing results, ensuring high-quality video output. Furthermore, a user study confirms the aesthetic quality of the video edits produced by the Real Time GAZED approach. With these advancements in real-time camera trajectory optimization and video editing presented, the demand for immediate and dynamic content creation in industries such as live broadcasting, sports coverage, news reporting, and social media content creation can be met more efficiently.</description><identifier>EISSN: 2642-9381</identifier><identifier>EISBN: 9798350318920</identifier><identifier>DOI: 10.1109/WACV57701.2024.00406</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithms ; Applications ; Broadcasting ; Cameras ; Computational photography ; Computer vision ; Embedded sensing / real-time techniques ; image and video synthesis ; Industries ; Multimedia communication ; Real-time systems ; Social networking (online) ; Virtual / augmented reality</subject><ispartof>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.4096-4104</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10483706$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,27902,54530,54907</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10483706$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Achary, Sudheer</creatorcontrib><creatorcontrib>Girmaji, Rohit</creatorcontrib><creatorcontrib>Deshmukh, Adhiraj Anil</creatorcontrib><creatorcontrib>Gandhi, Vineet</creatorcontrib><title>Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings</title><title>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</title><addtitle>WACV</addtitle><description>Eliminating time-consuming post-prodution processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFilter, a novel real-time camera trajectory stabilization approach. It enables users to create professionally edited videos in real-time. Comparative evaluations against baseline methods, including the non-real-time GAZED, demonstrate that Real Time GAZED achieves similar editing results, ensuring high-quality video output. Furthermore, a user study confirms the aesthetic quality of the video edits produced by the Real Time GAZED approach. With these advancements in real-time camera trajectory optimization and video editing presented, the demand for immediate and dynamic content creation in industries such as live broadcasting, sports coverage, news reporting, and social media content creation can be met more efficiently.</description><subject>Algorithms</subject><subject>Applications</subject><subject>Broadcasting</subject><subject>Cameras</subject><subject>Computational photography</subject><subject>Computer vision</subject><subject>Embedded sensing / real-time techniques</subject><subject>image and video synthesis</subject><subject>Industries</subject><subject>Multimedia communication</subject><subject>Real-time systems</subject><subject>Social networking (online)</subject><subject>Virtual / augmented reality</subject><issn>2642-9381</issn><isbn>9798350318920</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjNFOwjAUQKuJiYj8AQ_9geHtWtZd35aJaIIhAYTEF1LaW6zZVrKNB_5eEn06L-ccxsYCJkIAPu2KcjvVGsQkhVRNABRkN2yEGnM5BSlyTOGWDdJMpQnKXNyzh677AZAoUA7YaUWm4ptQE58XX7OXZ75sqtAQX3_Hnq-pItuH2HDTOD5zoQ_NkUfPt6Htz9ewNDW1puO-jTXfBUdJ0Rwr4h-xifZcmfZqOop8RTa27hp3j-zOm6qj0T-H7PN1tinfksVy_l4WiyQIgX3ihPA6l1ZqpbwFayUqTHOnyECOKgMSeEDppTgY460_AOgsRRTSK-enWg7Z-O8biGh_akNt2stegMqlhkz-AkZgWgU</recordid><startdate>20240103</startdate><enddate>20240103</enddate><creator>Achary, Sudheer</creator><creator>Girmaji, Rohit</creator><creator>Deshmukh, Adhiraj Anil</creator><creator>Gandhi, Vineet</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20240103</creationdate><title>Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings</title><author>Achary, Sudheer ; Girmaji, Rohit ; Deshmukh, Adhiraj Anil ; Gandhi, Vineet</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i119t-d11f783c3744fc0cc394928d4ea089460e19b93f31baafcfb007629913f4df573</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Applications</topic><topic>Broadcasting</topic><topic>Cameras</topic><topic>Computational photography</topic><topic>Computer vision</topic><topic>Embedded sensing / real-time techniques</topic><topic>image and video synthesis</topic><topic>Industries</topic><topic>Multimedia communication</topic><topic>Real-time systems</topic><topic>Social networking (online)</topic><topic>Virtual / augmented reality</topic><toplevel>online_resources</toplevel><creatorcontrib>Achary, Sudheer</creatorcontrib><creatorcontrib>Girmaji, Rohit</creatorcontrib><creatorcontrib>Deshmukh, Adhiraj Anil</creatorcontrib><creatorcontrib>Gandhi, Vineet</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Achary, Sudheer</au><au>Girmaji, Rohit</au><au>Deshmukh, Adhiraj Anil</au><au>Gandhi, Vineet</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings</atitle><btitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</btitle><stitle>WACV</stitle><date>2024-01-03</date><risdate>2024</risdate><spage>4096</spage><epage>4104</epage><pages>4096-4104</pages><eissn>2642-9381</eissn><eisbn>9798350318920</eisbn><coden>IEEPAD</coden><abstract>Eliminating time-consuming post-prodution processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFilter, a novel real-time camera trajectory stabilization approach. It enables users to create professionally edited videos in real-time. Comparative evaluations against baseline methods, including the non-real-time GAZED, demonstrate that Real Time GAZED achieves similar editing results, ensuring high-quality video output. Furthermore, a user study confirms the aesthetic quality of the video edits produced by the Real Time GAZED approach. With these advancements in real-time camera trajectory optimization and video editing presented, the demand for immediate and dynamic content creation in industries such as live broadcasting, sports coverage, news reporting, and social media content creation can be met more efficiently.</abstract><pub>IEEE</pub><doi>10.1109/WACV57701.2024.00406</doi><tpages>9</tpages></addata></record>
fulltext	fulltext_linktorsrc
identifier	EISSN: 2642-9381
ispartof	2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.4096-4104
issn	2642-9381
language	eng
recordid	cdi_ieee_primary_10483706
source	IEEE Xplore All Conference Series
subjects	Algorithms Applications Broadcasting Cameras Computational photography Computer vision Embedded sensing / real-time techniques image and video synthesis Industries Multimedia communication Real-time systems Social networking (online) Virtual / augmented reality
title	Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T13%3A14%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Real%20Time%20GAZED:%20Online%20Shot%20Selection%20and%20Editing%20of%20Virtual%20Cameras%20from%20Wide-Angle%20Monocular%20Video%20Recordings&rft.btitle=2024%20IEEE/CVF%20Winter%20Conference%20on%20Applications%20of%20Computer%20Vision%20(WACV)&rft.au=Achary,%20Sudheer&rft.date=2024-01-03&rft.spage=4096&rft.epage=4104&rft.pages=4096-4104&rft.eissn=2642-9381&rft.coden=IEEPAD&rft_id=info:doi/10.1109/WACV57701.2024.00406&rft.eisbn=9798350318920&rft_dat=%3Cieee_CHZPO%3E10483706%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i119t-d11f783c3744fc0cc394928d4ea089460e19b93f31baafcfb007629913f4df573%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=10483706&rfr_iscdi=true