Animation Design Based on 3D Visual Communication Technology
The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos t...
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| Veröffentlicht in: | Scientific programming 2022-01, Vol.2022, p.1-11 |
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| container_title | Scientific programming |
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| creator | Shan, Feng Wang, Youya |
| description | The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time. |
| doi_str_mv | 10.1155/2022/6461538 |
| format | Article |
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Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time.</description><identifier>ISSN: 1058-9244</identifier><identifier>EISSN: 1875-919X</identifier><identifier>DOI: 10.1155/2022/6461538</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Algorithms ; Animation ; Cameras ; Communications systems ; Computer simulation ; Deep learning ; Design techniques ; Dictionaries ; Feature extraction ; Image enhancement ; Image reconstruction ; Image transmission ; Language ; Motion capture ; Optimization ; Projection ; Scaling factors ; Sensors ; Stitching ; Synthesis ; Television ; Texture ; Video communication ; Video transmission ; Virtual reality ; Visual communication ; Visual effects ; Wavelet transforms</subject><ispartof>Scientific programming, 2022-01, Vol.2022, p.1-11</ispartof><rights>Copyright © 2022 Feng Shan and Youya Wang.</rights><rights>Copyright © 2022 Feng Shan and Youya Wang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-c091f8fae213cdb52b4bc14f8db8a7641c8ec42ed6d09fb35c9b554de4a011773</citedby><cites>FETCH-LOGICAL-c337t-c091f8fae213cdb52b4bc14f8db8a7641c8ec42ed6d09fb35c9b554de4a011773</cites><orcidid>0000-0002-9734-789X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Ding, Baiyuan</contributor><contributor>Baiyuan Ding</contributor><creatorcontrib>Shan, Feng</creatorcontrib><creatorcontrib>Wang, Youya</creatorcontrib><title>Animation Design Based on 3D Visual Communication Technology</title><title>Scientific programming</title><description>The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time.</description><subject>Algorithms</subject><subject>Animation</subject><subject>Cameras</subject><subject>Communications systems</subject><subject>Computer simulation</subject><subject>Deep learning</subject><subject>Design techniques</subject><subject>Dictionaries</subject><subject>Feature extraction</subject><subject>Image enhancement</subject><subject>Image reconstruction</subject><subject>Image transmission</subject><subject>Language</subject><subject>Motion capture</subject><subject>Optimization</subject><subject>Projection</subject><subject>Scaling factors</subject><subject>Sensors</subject><subject>Stitching</subject><subject>Synthesis</subject><subject>Television</subject><subject>Texture</subject><subject>Video communication</subject><subject>Video transmission</subject><subject>Virtual reality</subject><subject>Visual communication</subject><subject>Visual effects</subject><subject>Wavelet transforms</subject><issn>1058-9244</issn><issn>1875-919X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><recordid>eNp9kE1LAzEQhoMoWKs3f8CCR12bycduAl5q6xcUvFTxFrJJtk1pN3XTpfTfm7I9e5oZeHiH90HoFvAjAOcjggkZFawATsUZGoAoeS5B_pynHXORS8LYJbqKcYUxCMB4gJ7Gjd_onQ9NNnXRL5rsWUdns3TTafbtY6fX2SRsNl3jTc_NnVk2YR0Wh2t0Uet1dDenOURfry_zyXs--3z7mIxnuaG03OUGS6hFrR0BamzFScUqA6wWthK6LBgY4QwjzhYWy7qi3MiKc2Yd0xigLOkQ3fW52zb8di7u1Cp0bZNeKlKAlByn0ol66CnThhhbV6ttm7q1BwVYHf2oox918pPw-x5f-sbqvf-f_gMSHGPM</recordid><startdate>20220105</startdate><enddate>20220105</enddate><creator>Shan, Feng</creator><creator>Wang, Youya</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-9734-789X</orcidid></search><sort><creationdate>20220105</creationdate><title>Animation Design Based on 3D Visual Communication Technology</title><author>Shan, Feng ; Wang, Youya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-c091f8fae213cdb52b4bc14f8db8a7641c8ec42ed6d09fb35c9b554de4a011773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Animation</topic><topic>Cameras</topic><topic>Communications systems</topic><topic>Computer simulation</topic><topic>Deep learning</topic><topic>Design techniques</topic><topic>Dictionaries</topic><topic>Feature extraction</topic><topic>Image enhancement</topic><topic>Image reconstruction</topic><topic>Image transmission</topic><topic>Language</topic><topic>Motion capture</topic><topic>Optimization</topic><topic>Projection</topic><topic>Scaling factors</topic><topic>Sensors</topic><topic>Stitching</topic><topic>Synthesis</topic><topic>Television</topic><topic>Texture</topic><topic>Video communication</topic><topic>Video transmission</topic><topic>Virtual reality</topic><topic>Visual communication</topic><topic>Visual effects</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shan, Feng</creatorcontrib><creatorcontrib>Wang, Youya</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Scientific programming</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shan, Feng</au><au>Wang, Youya</au><au>Ding, Baiyuan</au><au>Baiyuan Ding</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Animation Design Based on 3D Visual Communication Technology</atitle><jtitle>Scientific programming</jtitle><date>2022-01-05</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>1058-9244</issn><eissn>1875-919X</eissn><abstract>The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors between adjacent triangles of animation and video images, the scaling factor field is constructed. Deep learning is used to extract the deep features and to reconstruct the multiframe animated and animated video images based on visual communication. Based on this, the frame feature of video image under gray projection is identified and extracted, and the animation design based on 3D visual communication technology is completed. Experimental results show that the proposed method can enhance the visual transmission of animation video images significantly and can achieve high-precision reconstruction of video images in a short time.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/6461538</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9734-789X</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Animation Cameras Communications systems Computer simulation Deep learning Design techniques Dictionaries Feature extraction Image enhancement Image reconstruction Image transmission Language Motion capture Optimization Projection Scaling factors Sensors Stitching Synthesis Television Texture Video communication Video transmission Virtual reality Visual communication Visual effects Wavelet transforms |
| title | Animation Design Based on 3D Visual Communication Technology |
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