AI-POWERED RAW FILE MANAGEMENT

A system and method for managing raw files are disclosed. A plurality of image files associated with one or more raw files that include respective metadata are evaluated. A set of one or more of the images files are grouped together based on matching the respective metadata. An asset file correspond...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Tsai, Ivy, Ruiz, Andres, Rahn, Nathan Cosmo, Giberti, Erik, Fenton, Brian, MacAskill, Don, Shepherd, Lee, Kong-Santos, Kaserin Tammie, Wilson, Mikkel, Deffley, Evan Christopher, Yang, Bobby, Parry, David, Boyd, Kevin
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Tsai, Ivy
Ruiz, Andres
Rahn, Nathan Cosmo
Giberti, Erik
Fenton, Brian
MacAskill, Don
Shepherd, Lee
Kong-Santos, Kaserin Tammie
Wilson, Mikkel
Deffley, Evan Christopher
Yang, Bobby
Parry, David
Boyd, Kevin
description A system and method for managing raw files are disclosed. A plurality of image files associated with one or more raw files that include respective metadata are evaluated. A set of one or more of the images files are grouped together based on matching the respective metadata. An asset file corresponding to the raw file and the grouped set of the image files are generated. The asset file are retrieved in response to a request from a user device. At least one of the image files in the grouped set are selected and a display of the selected image file is generated for rendering.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023205812A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023205812A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023205812A13</originalsourceid><addsrcrecordid>eNrjZJBz9NQN8A93DXJ1UQhyDFdw8_RxVfB19HN0d_V19QvhYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkbGRgamFoZGjobGxKkCAB1NIf8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>AI-POWERED RAW FILE MANAGEMENT</title><source>esp@cenet</source><creator>Tsai, Ivy ; Ruiz, Andres ; Rahn, Nathan Cosmo ; Giberti, Erik ; Fenton, Brian ; MacAskill, Don ; Shepherd, Lee ; Kong-Santos, Kaserin Tammie ; Wilson, Mikkel ; Deffley, Evan Christopher ; Yang, Bobby ; Parry, David ; Boyd, Kevin</creator><creatorcontrib>Tsai, Ivy ; Ruiz, Andres ; Rahn, Nathan Cosmo ; Giberti, Erik ; Fenton, Brian ; MacAskill, Don ; Shepherd, Lee ; Kong-Santos, Kaserin Tammie ; Wilson, Mikkel ; Deffley, Evan Christopher ; Yang, Bobby ; Parry, David ; Boyd, Kevin</creatorcontrib><description>A system and method for managing raw files are disclosed. A plurality of image files associated with one or more raw files that include respective metadata are evaluated. A set of one or more of the images files are grouped together based on matching the respective metadata. An asset file corresponding to the raw file and the grouped set of the image files are generated. The asset file are retrieved in response to a request from a user device. At least one of the image files in the grouped set are selected and a display of the selected image file is generated for rendering.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230629&amp;DB=EPODOC&amp;CC=US&amp;NR=2023205812A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230629&amp;DB=EPODOC&amp;CC=US&amp;NR=2023205812A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Tsai, Ivy</creatorcontrib><creatorcontrib>Ruiz, Andres</creatorcontrib><creatorcontrib>Rahn, Nathan Cosmo</creatorcontrib><creatorcontrib>Giberti, Erik</creatorcontrib><creatorcontrib>Fenton, Brian</creatorcontrib><creatorcontrib>MacAskill, Don</creatorcontrib><creatorcontrib>Shepherd, Lee</creatorcontrib><creatorcontrib>Kong-Santos, Kaserin Tammie</creatorcontrib><creatorcontrib>Wilson, Mikkel</creatorcontrib><creatorcontrib>Deffley, Evan Christopher</creatorcontrib><creatorcontrib>Yang, Bobby</creatorcontrib><creatorcontrib>Parry, David</creatorcontrib><creatorcontrib>Boyd, Kevin</creatorcontrib><title>AI-POWERED RAW FILE MANAGEMENT</title><description>A system and method for managing raw files are disclosed. A plurality of image files associated with one or more raw files that include respective metadata are evaluated. A set of one or more of the images files are grouped together based on matching the respective metadata. An asset file corresponding to the raw file and the grouped set of the image files are generated. The asset file are retrieved in response to a request from a user device. At least one of the image files in the grouped set are selected and a display of the selected image file is generated for rendering.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJBz9NQN8A93DXJ1UQhyDFdw8_RxVfB19HN0d_V19QvhYWBNS8wpTuWF0twMym6uIc4euqkF-fGpxQWJyal5qSXxocFGBkbGRgamFoZGjobGxKkCAB1NIf8</recordid><startdate>20230629</startdate><enddate>20230629</enddate><creator>Tsai, Ivy</creator><creator>Ruiz, Andres</creator><creator>Rahn, Nathan Cosmo</creator><creator>Giberti, Erik</creator><creator>Fenton, Brian</creator><creator>MacAskill, Don</creator><creator>Shepherd, Lee</creator><creator>Kong-Santos, Kaserin Tammie</creator><creator>Wilson, Mikkel</creator><creator>Deffley, Evan Christopher</creator><creator>Yang, Bobby</creator><creator>Parry, David</creator><creator>Boyd, Kevin</creator><scope>EVB</scope></search><sort><creationdate>20230629</creationdate><title>AI-POWERED RAW FILE MANAGEMENT</title><author>Tsai, Ivy ; Ruiz, Andres ; Rahn, Nathan Cosmo ; Giberti, Erik ; Fenton, Brian ; MacAskill, Don ; Shepherd, Lee ; Kong-Santos, Kaserin Tammie ; Wilson, Mikkel ; Deffley, Evan Christopher ; Yang, Bobby ; Parry, David ; Boyd, Kevin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023205812A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Tsai, Ivy</creatorcontrib><creatorcontrib>Ruiz, Andres</creatorcontrib><creatorcontrib>Rahn, Nathan Cosmo</creatorcontrib><creatorcontrib>Giberti, Erik</creatorcontrib><creatorcontrib>Fenton, Brian</creatorcontrib><creatorcontrib>MacAskill, Don</creatorcontrib><creatorcontrib>Shepherd, Lee</creatorcontrib><creatorcontrib>Kong-Santos, Kaserin Tammie</creatorcontrib><creatorcontrib>Wilson, Mikkel</creatorcontrib><creatorcontrib>Deffley, Evan Christopher</creatorcontrib><creatorcontrib>Yang, Bobby</creatorcontrib><creatorcontrib>Parry, David</creatorcontrib><creatorcontrib>Boyd, Kevin</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Tsai, Ivy</au><au>Ruiz, Andres</au><au>Rahn, Nathan Cosmo</au><au>Giberti, Erik</au><au>Fenton, Brian</au><au>MacAskill, Don</au><au>Shepherd, Lee</au><au>Kong-Santos, Kaserin Tammie</au><au>Wilson, Mikkel</au><au>Deffley, Evan Christopher</au><au>Yang, Bobby</au><au>Parry, David</au><au>Boyd, Kevin</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>AI-POWERED RAW FILE MANAGEMENT</title><date>2023-06-29</date><risdate>2023</risdate><abstract>A system and method for managing raw files are disclosed. A plurality of image files associated with one or more raw files that include respective metadata are evaluated. A set of one or more of the images files are grouped together based on matching the respective metadata. An asset file corresponding to the raw file and the grouped set of the image files are generated. The asset file are retrieved in response to a request from a user device. At least one of the image files in the grouped set are selected and a display of the selected image file is generated for rendering.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2023205812A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title AI-POWERED RAW FILE MANAGEMENT
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T02%3A48%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=Tsai,%20Ivy&rft.date=2023-06-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023205812A1%3C/epo_EVB%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