Video stream identification system based on data enhancement
The invention belongs to the technical field of data enhancement, and provides a video stream identification system based on data enhancement, comprising: a data acquisition module configured to: obtain gastroscope detection video data; the video stream identification module is configured to obtain...
Gespeichert in:
Hauptverfasser: | , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; 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 | LI CHUANPENG MU CHUNHUI FAN ZHAOLEI GUO KAIFENG WANG CHANGZHUANG |
description | The invention belongs to the technical field of data enhancement, and provides a video stream identification system based on data enhancement, comprising: a data acquisition module configured to: obtain gastroscope detection video data; the video stream identification module is configured to obtain an identification result of the gastroscope detection video data according to the obtained gastroscope detection video data and a preset video stream identification model; the data used for training the model comprises the gastroscopy image generated according to the gastroscopy detection video data and the preset second deep learning network model, the gastroscopy simulation detection image generated by using the 3D simulation technology, the real detection annotation data of the gastroscopy and other types of data. And data set training after multi-type data enhancement is utilized, so that the generalization of a video stream identification model is improved, and the accuracy and the sensitivity of setting diffe |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116030394A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116030394A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116030394A3</originalsourceid><addsrcrecordid>eNrjZLAJy0xJzVcoLilKTcxVALLzSjLTMpMTSzLz8xSKK4tLUnMVkhKLU1MUgPyUxJJEhdS8jMS85NRcoEoeBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoaGZgbGBsaeJoTIwaAPnxL-c</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Video stream identification system based on data enhancement</title><source>esp@cenet</source><creator>LI CHUANPENG ; MU CHUNHUI ; FAN ZHAOLEI ; GUO KAIFENG ; WANG CHANGZHUANG</creator><creatorcontrib>LI CHUANPENG ; MU CHUNHUI ; FAN ZHAOLEI ; GUO KAIFENG ; WANG CHANGZHUANG</creatorcontrib><description>The invention belongs to the technical field of data enhancement, and provides a video stream identification system based on data enhancement, comprising: a data acquisition module configured to: obtain gastroscope detection video data; the video stream identification module is configured to obtain an identification result of the gastroscope detection video data according to the obtained gastroscope detection video data and a preset video stream identification model; the data used for training the model comprises the gastroscopy image generated according to the gastroscopy detection video data and the preset second deep learning network model, the gastroscopy simulation detection image generated by using the 3D simulation technology, the real detection annotation data of the gastroscopy and other types of data. And data set training after multi-type data enhancement is utilized, so that the generalization of a video stream identification model is improved, and the accuracy and the sensitivity of setting diffe</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; 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&date=20230428&DB=EPODOC&CC=CN&NR=116030394A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230428&DB=EPODOC&CC=CN&NR=116030394A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI CHUANPENG</creatorcontrib><creatorcontrib>MU CHUNHUI</creatorcontrib><creatorcontrib>FAN ZHAOLEI</creatorcontrib><creatorcontrib>GUO KAIFENG</creatorcontrib><creatorcontrib>WANG CHANGZHUANG</creatorcontrib><title>Video stream identification system based on data enhancement</title><description>The invention belongs to the technical field of data enhancement, and provides a video stream identification system based on data enhancement, comprising: a data acquisition module configured to: obtain gastroscope detection video data; the video stream identification module is configured to obtain an identification result of the gastroscope detection video data according to the obtained gastroscope detection video data and a preset video stream identification model; the data used for training the model comprises the gastroscopy image generated according to the gastroscopy detection video data and the preset second deep learning network model, the gastroscopy simulation detection image generated by using the 3D simulation technology, the real detection annotation data of the gastroscopy and other types of data. And data set training after multi-type data enhancement is utilized, so that the generalization of a video stream identification model is improved, and the accuracy and the sensitivity of setting diffe</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAJy0xJzVcoLilKTcxVALLzSjLTMpMTSzLz8xSKK4tLUnMVkhKLU1MUgPyUxJJEhdS8jMS85NRcoEoeBta0xJziVF4ozc2g6OYa4uyhm1qQH59aXJCYnJqXWhLv7GdoaGZgbGBsaeJoTIwaAPnxL-c</recordid><startdate>20230428</startdate><enddate>20230428</enddate><creator>LI CHUANPENG</creator><creator>MU CHUNHUI</creator><creator>FAN ZHAOLEI</creator><creator>GUO KAIFENG</creator><creator>WANG CHANGZHUANG</creator><scope>EVB</scope></search><sort><creationdate>20230428</creationdate><title>Video stream identification system based on data enhancement</title><author>LI CHUANPENG ; MU CHUNHUI ; FAN ZHAOLEI ; GUO KAIFENG ; WANG CHANGZHUANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116030394A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI CHUANPENG</creatorcontrib><creatorcontrib>MU CHUNHUI</creatorcontrib><creatorcontrib>FAN ZHAOLEI</creatorcontrib><creatorcontrib>GUO KAIFENG</creatorcontrib><creatorcontrib>WANG CHANGZHUANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI CHUANPENG</au><au>MU CHUNHUI</au><au>FAN ZHAOLEI</au><au>GUO KAIFENG</au><au>WANG CHANGZHUANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Video stream identification system based on data enhancement</title><date>2023-04-28</date><risdate>2023</risdate><abstract>The invention belongs to the technical field of data enhancement, and provides a video stream identification system based on data enhancement, comprising: a data acquisition module configured to: obtain gastroscope detection video data; the video stream identification module is configured to obtain an identification result of the gastroscope detection video data according to the obtained gastroscope detection video data and a preset video stream identification model; the data used for training the model comprises the gastroscopy image generated according to the gastroscopy detection video data and the preset second deep learning network model, the gastroscopy simulation detection image generated by using the 3D simulation technology, the real detection annotation data of the gastroscopy and other types of data. And data set training after multi-type data enhancement is utilized, so that the generalization of a video stream identification model is improved, and the accuracy and the sensitivity of setting diffe</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN116030394A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
title | Video stream identification system based on data enhancement |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T23%3A55%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=LI%20CHUANPENG&rft.date=2023-04-28&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116030394A%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 |