LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD
본 기술은 LSTM 기반의 개인화 시점 추정 방법 및 장치가 개시된다. 본 발명의 구체적인 예에 따르면, 360도 원본 영상과 사용자의 관심 영역인 시점 영상에 대해 LSTM 기반으로 사용자의 시점을 예측하므로 예측된 시점을 포함하는 타일을 네트워크를 통해 전달되므로, 네트워크 대역 대비 전달하는 데이터의 수를 절감할 수 있고, 이에 각 개인 별로 시점을 예측할 수 있다. Disclosed are an LSTM based personalization viewpoint estimation apparatus and method. Acc...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Patent |
| Sprache: | eng ; kor |
| 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 | CHANGJONG HYUN BONG SEOK SEO DONG HO KIM |
| description | 본 기술은 LSTM 기반의 개인화 시점 추정 방법 및 장치가 개시된다. 본 발명의 구체적인 예에 따르면, 360도 원본 영상과 사용자의 관심 영역인 시점 영상에 대해 LSTM 기반으로 사용자의 시점을 예측하므로 예측된 시점을 포함하는 타일을 네트워크를 통해 전달되므로, 네트워크 대역 대비 전달하는 데이터의 수를 절감할 수 있고, 이에 각 개인 별로 시점을 예측할 수 있다.
Disclosed are an LSTM based personalization viewpoint estimation apparatus and method. According to an embodiment of the present disclosure, a viewpoint of a user is estimated using LSTM with respect to a 360-degree raw image and a viewpoint image that is a region of interest of the user and a tile including the estimated viewpoint is transmitted over a network, so that the amount of data to transmit compared to the network bandwidth may be reduced and a viewpoint of each individual may be estimated. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20220081676A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20220081676A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20220081676A3</originalsourceid><addsrcrecordid>eNrjZPDyCQ7xVQATTo7Bri4KAa5Bwf5-jj6eUY4hnv5-CmGeruEKAf6efiEKrsEhnr4QUceAAMcgx5DQYAVHPxcFX9cQD38XHgbWtMSc4lReKM3NoOzmGuLsoZtakB-fWlyQmJyal1oS7x1kZGBkZGBgYWhmbuZoTJwqAEFiLpk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD</title><source>esp@cenet</source><creator>CHANGJONG HYUN ; BONG SEOK SEO ; DONG HO KIM</creator><creatorcontrib>CHANGJONG HYUN ; BONG SEOK SEO ; DONG HO KIM</creatorcontrib><description>본 기술은 LSTM 기반의 개인화 시점 추정 방법 및 장치가 개시된다. 본 발명의 구체적인 예에 따르면, 360도 원본 영상과 사용자의 관심 영역인 시점 영상에 대해 LSTM 기반으로 사용자의 시점을 예측하므로 예측된 시점을 포함하는 타일을 네트워크를 통해 전달되므로, 네트워크 대역 대비 전달하는 데이터의 수를 절감할 수 있고, 이에 각 개인 별로 시점을 예측할 수 있다.
Disclosed are an LSTM based personalization viewpoint estimation apparatus and method. According to an embodiment of the present disclosure, a viewpoint of a user is estimated using LSTM with respect to a 360-degree raw image and a viewpoint image that is a region of interest of the user and a tile including the estimated viewpoint is transmitted over a network, so that the amount of data to transmit compared to the network bandwidth may be reduced and a viewpoint of each individual may be estimated.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; PHYSICS ; PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><creationdate>2022</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=20220616&DB=EPODOC&CC=KR&NR=20220081676A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220616&DB=EPODOC&CC=KR&NR=20220081676A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHANGJONG HYUN</creatorcontrib><creatorcontrib>BONG SEOK SEO</creatorcontrib><creatorcontrib>DONG HO KIM</creatorcontrib><title>LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD</title><description>본 기술은 LSTM 기반의 개인화 시점 추정 방법 및 장치가 개시된다. 본 발명의 구체적인 예에 따르면, 360도 원본 영상과 사용자의 관심 영역인 시점 영상에 대해 LSTM 기반으로 사용자의 시점을 예측하므로 예측된 시점을 포함하는 타일을 네트워크를 통해 전달되므로, 네트워크 대역 대비 전달하는 데이터의 수를 절감할 수 있고, 이에 각 개인 별로 시점을 예측할 수 있다.
Disclosed are an LSTM based personalization viewpoint estimation apparatus and method. According to an embodiment of the present disclosure, a viewpoint of a user is estimated using LSTM with respect to a 360-degree raw image and a viewpoint image that is a region of interest of the user and a tile including the estimated viewpoint is transmitted over a network, so that the amount of data to transmit compared to the network bandwidth may be reduced and a viewpoint of each individual may be estimated.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>PHYSICS</subject><subject>PICTORIAL COMMUNICATION, e.g. TELEVISION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDyCQ7xVQATTo7Bri4KAa5Bwf5-jj6eUY4hnv5-CmGeruEKAf6efiEKrsEhnr4QUceAAMcgx5DQYAVHPxcFX9cQD38XHgbWtMSc4lReKM3NoOzmGuLsoZtakB-fWlyQmJyal1oS7x1kZGBkZGBgYWhmbuZoTJwqAEFiLpk</recordid><startdate>20220616</startdate><enddate>20220616</enddate><creator>CHANGJONG HYUN</creator><creator>BONG SEOK SEO</creator><creator>DONG HO KIM</creator><scope>EVB</scope></search><sort><creationdate>20220616</creationdate><title>LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD</title><author>CHANGJONG HYUN ; BONG SEOK SEO ; DONG HO KIM</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20220081676A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>PHYSICS</topic><topic>PICTORIAL COMMUNICATION, e.g. TELEVISION</topic><toplevel>online_resources</toplevel><creatorcontrib>CHANGJONG HYUN</creatorcontrib><creatorcontrib>BONG SEOK SEO</creatorcontrib><creatorcontrib>DONG HO KIM</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHANGJONG HYUN</au><au>BONG SEOK SEO</au><au>DONG HO KIM</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD</title><date>2022-06-16</date><risdate>2022</risdate><abstract>본 기술은 LSTM 기반의 개인화 시점 추정 방법 및 장치가 개시된다. 본 발명의 구체적인 예에 따르면, 360도 원본 영상과 사용자의 관심 영역인 시점 영상에 대해 LSTM 기반으로 사용자의 시점을 예측하므로 예측된 시점을 포함하는 타일을 네트워크를 통해 전달되므로, 네트워크 대역 대비 전달하는 데이터의 수를 절감할 수 있고, 이에 각 개인 별로 시점을 예측할 수 있다.
Disclosed are an LSTM based personalization viewpoint estimation apparatus and method. According to an embodiment of the present disclosure, a viewpoint of a user is estimated using LSTM with respect to a 360-degree raw image and a viewpoint image that is a region of interest of the user and a tile including the estimated viewpoint is transmitted over a network, so that the amount of data to transmit compared to the network bandwidth may be reduced and a viewpoint of each individual may be estimated.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng ; kor |
| recordid | cdi_epo_espacenet_KR20220081676A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION |
| title | LSTM LSTM BASED PERSONALIZATION VIEW POINT ESTIMATION APPARATUS AND METHOD |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T03%3A33%3A17IST&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=CHANGJONG%20HYUN&rft.date=2022-06-16&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EKR20220081676A%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 |