Automatic evaluation method and device for manufacturing industry video content quality
The invention provides a manufacturing industry video content quality-oriented automatic evaluation method, which is used for evaluating the content quality of a manufacturing industry video and comprises the following steps of: S1, performing voice recognition on the manufacturing industry video to...
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 | JIANG SIHANG XIAO YANGHUA XIONG ZHUOZHI ZHU XIAOXUAN FENG HONGWEI LI ZIHAN ZHANG LIN |
| description | The invention provides a manufacturing industry video content quality-oriented automatic evaluation method, which is used for evaluating the content quality of a manufacturing industry video and comprises the following steps of: S1, performing voice recognition on the manufacturing industry video to obtain a voice recognition text; s2, performing further pre-training by using a pre-training language model predetermined by the speech recognition text to obtain a secondary pre-training language model; s3, generating a training question based on the speech recognition text, and training the secondary pre-training language model by using the training question to obtain a trained question and answer model; and S4, inputting a predetermined test question into the question and answer model to obtain a prediction probability as an evaluation result of the content quality of the manufacturing industry video. According to the method, one or more manufacturing industry videos and reference documents related to the video |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117857778A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117857778A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117857778A3</originalsourceid><addsrcrecordid>eNqNyrEKwjAQgOEsDqK-w_kADkUkXUtRnJwEx3IkVw0kdzW5FPr2OvgATv83_Gvz6KpKQg0OaMZYvxKGRPoSD8gePM3BEYySISHXEZ3WHPgJgX0tmheYgycBJ6zECu-KMeiyNasRY6Hdrxuzv5zv_fVAkwxUJnTEpEN_axrbnqy1bXf85_kA0b46_w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Automatic evaluation method and device for manufacturing industry video content quality</title><source>esp@cenet</source><creator>JIANG SIHANG ; XIAO YANGHUA ; XIONG ZHUOZHI ; ZHU XIAOXUAN ; FENG HONGWEI ; LI ZIHAN ; ZHANG LIN</creator><creatorcontrib>JIANG SIHANG ; XIAO YANGHUA ; XIONG ZHUOZHI ; ZHU XIAOXUAN ; FENG HONGWEI ; LI ZIHAN ; ZHANG LIN</creatorcontrib><description>The invention provides a manufacturing industry video content quality-oriented automatic evaluation method, which is used for evaluating the content quality of a manufacturing industry video and comprises the following steps of: S1, performing voice recognition on the manufacturing industry video to obtain a voice recognition text; s2, performing further pre-training by using a pre-training language model predetermined by the speech recognition text to obtain a secondary pre-training language model; s3, generating a training question based on the speech recognition text, and training the secondary pre-training language model by using the training question to obtain a trained question and answer model; and S4, inputting a predetermined test question into the question and answer model to obtain a prediction probability as an evaluation result of the content quality of the manufacturing industry video. According to the method, one or more manufacturing industry videos and reference documents related to the video</description><language>chi ; eng</language><subject>ACOUSTICS ; ADVERTISING ; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE ; CRYPTOGRAPHY ; DIAGRAMS ; DISPLAY ; EDUCATION ; EDUCATIONAL OR DEMONSTRATION APPLIANCES ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; GLOBES ; MUSICAL INSTRUMENTS ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION ; PLANETARIA ; SEALS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION</subject><creationdate>2024</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=20240409&DB=EPODOC&CC=CN&NR=117857778A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240409&DB=EPODOC&CC=CN&NR=117857778A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIANG SIHANG</creatorcontrib><creatorcontrib>XIAO YANGHUA</creatorcontrib><creatorcontrib>XIONG ZHUOZHI</creatorcontrib><creatorcontrib>ZHU XIAOXUAN</creatorcontrib><creatorcontrib>FENG HONGWEI</creatorcontrib><creatorcontrib>LI ZIHAN</creatorcontrib><creatorcontrib>ZHANG LIN</creatorcontrib><title>Automatic evaluation method and device for manufacturing industry video content quality</title><description>The invention provides a manufacturing industry video content quality-oriented automatic evaluation method, which is used for evaluating the content quality of a manufacturing industry video and comprises the following steps of: S1, performing voice recognition on the manufacturing industry video to obtain a voice recognition text; s2, performing further pre-training by using a pre-training language model predetermined by the speech recognition text to obtain a secondary pre-training language model; s3, generating a training question based on the speech recognition text, and training the secondary pre-training language model by using the training question to obtain a trained question and answer model; and S4, inputting a predetermined test question into the question and answer model to obtain a prediction probability as an evaluation result of the content quality of the manufacturing industry video. According to the method, one or more manufacturing industry videos and reference documents related to the video</description><subject>ACOUSTICS</subject><subject>ADVERTISING</subject><subject>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</subject><subject>CRYPTOGRAPHY</subject><subject>DIAGRAMS</subject><subject>DISPLAY</subject><subject>EDUCATION</subject><subject>EDUCATIONAL OR DEMONSTRATION APPLIANCES</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>GLOBES</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><subject>PLANETARIA</subject><subject>SEALS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEsDqK-w_kADkUkXUtRnJwEx3IkVw0kdzW5FPr2OvgATv83_Gvz6KpKQg0OaMZYvxKGRPoSD8gePM3BEYySISHXEZ3WHPgJgX0tmheYgycBJ6zECu-KMeiyNasRY6Hdrxuzv5zv_fVAkwxUJnTEpEN_axrbnqy1bXf85_kA0b46_w</recordid><startdate>20240409</startdate><enddate>20240409</enddate><creator>JIANG SIHANG</creator><creator>XIAO YANGHUA</creator><creator>XIONG ZHUOZHI</creator><creator>ZHU XIAOXUAN</creator><creator>FENG HONGWEI</creator><creator>LI ZIHAN</creator><creator>ZHANG LIN</creator><scope>EVB</scope></search><sort><creationdate>20240409</creationdate><title>Automatic evaluation method and device for manufacturing industry video content quality</title><author>JIANG SIHANG ; XIAO YANGHUA ; XIONG ZHUOZHI ; ZHU XIAOXUAN ; FENG HONGWEI ; LI ZIHAN ; ZHANG LIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117857778A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>ACOUSTICS</topic><topic>ADVERTISING</topic><topic>APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE</topic><topic>CRYPTOGRAPHY</topic><topic>DIAGRAMS</topic><topic>DISPLAY</topic><topic>EDUCATION</topic><topic>EDUCATIONAL OR DEMONSTRATION APPLIANCES</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>GLOBES</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><topic>PLANETARIA</topic><topic>SEALS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><toplevel>online_resources</toplevel><creatorcontrib>JIANG SIHANG</creatorcontrib><creatorcontrib>XIAO YANGHUA</creatorcontrib><creatorcontrib>XIONG ZHUOZHI</creatorcontrib><creatorcontrib>ZHU XIAOXUAN</creatorcontrib><creatorcontrib>FENG HONGWEI</creatorcontrib><creatorcontrib>LI ZIHAN</creatorcontrib><creatorcontrib>ZHANG LIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIANG SIHANG</au><au>XIAO YANGHUA</au><au>XIONG ZHUOZHI</au><au>ZHU XIAOXUAN</au><au>FENG HONGWEI</au><au>LI ZIHAN</au><au>ZHANG LIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Automatic evaluation method and device for manufacturing industry video content quality</title><date>2024-04-09</date><risdate>2024</risdate><abstract>The invention provides a manufacturing industry video content quality-oriented automatic evaluation method, which is used for evaluating the content quality of a manufacturing industry video and comprises the following steps of: S1, performing voice recognition on the manufacturing industry video to obtain a voice recognition text; s2, performing further pre-training by using a pre-training language model predetermined by the speech recognition text to obtain a secondary pre-training language model; s3, generating a training question based on the speech recognition text, and training the secondary pre-training language model by using the training question to obtain a trained question and answer model; and S4, inputting a predetermined test question into the question and answer model to obtain a prediction probability as an evaluation result of the content quality of the manufacturing industry video. According to the method, one or more manufacturing industry videos and reference documents related to the video</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN117857778A |
| source | esp@cenet |
| subjects | ACOUSTICS ADVERTISING APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND,DEAF OR MUTE CRYPTOGRAPHY DIAGRAMS DISPLAY EDUCATION EDUCATIONAL OR DEMONSTRATION APPLIANCES ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY GLOBES MUSICAL INSTRUMENTS PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION PLANETARIA SEALS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION |
| title | Automatic evaluation method and device for manufacturing industry video content quality |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T20%3A22%3A27IST&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=JIANG%20SIHANG&rft.date=2024-04-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117857778A%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 |