Lip features automatic extraction
An algorithm for speaker's lip segmentation and features extraction is presented. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity...
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creator | Lievin, M. Luthon, F. |
description | An algorithm for speaker's lip segmentation and features extraction is presented. A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space. Second, a statistical approach using Markov random field modeling determines the red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (region of interest) and geometrical features. |
doi_str_mv | 10.1109/ICIP.1998.727160 |
format | Conference Proceeding |
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A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space. Second, a statistical approach using Markov random field modeling determines the red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (region of interest) and geometrical features.</description><identifier>ISBN: 0818688211</identifier><identifier>ISBN: 9780818688218</identifier><identifier>DOI: 10.1109/ICIP.1998.727160</identifier><language>eng</language><publisher>IEEE</publisher><subject>Feature extraction ; Markov random fields ; Spatiotemporal phenomena ; Video sequences</subject><ispartof>Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. 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A color video sequence of speaker's face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from the RGB to HI (hue, intensity) color space. Second, a statistical approach using Markov random field modeling determines the red hue prevailing region and motion in a spatiotemporal neighborhood. Third, the final label field is used to extract ROI (region of interest) and geometrical features.</description><subject>Feature extraction</subject><subject>Markov random fields</subject><subject>Spatiotemporal phenomena</subject><subject>Video sequences</subject><isbn>0818688211</isbn><isbn>9780818688218</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KxDAURgMiqOPsxVV9gNZ7kzQ3WUrxp1DQxeyH2_QGIo4ztBnQt3dg_DYHzuLAp9QdQoMI4bHv-o8GQ_ANaUIHF-oGPHrnvUa8Uutl-YTTvCYKdK0ehnyoknA5zrJUfCz7HZccK_kpM8eS99-36jLx1yLrf67U5uV5073Vw_tr3z0NdUawpbbJs3NaIkuro4FIYJiSWDs6Gk2kME16CsaexJgStoFdSJHbyTEAm5W6P2eziGwPc97x_Ls9fzB_Ag88hA</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Lievin, M.</creator><creator>Luthon, F.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1998</creationdate><title>Lip features automatic extraction</title><author>Lievin, M. ; Luthon, F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-4f8a662ecae52c30c703a7fe44b67b3c79dd2d93444bbff159a69fca5d6a00a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Feature extraction</topic><topic>Markov random fields</topic><topic>Spatiotemporal phenomena</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Lievin, M.</creatorcontrib><creatorcontrib>Luthon, F.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lievin, M.</au><au>Luthon, F.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Lip features automatic extraction</atitle><btitle>Proceedings 1998 International Conference on Image Processing. 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identifier | ISBN: 0818688211 |
ispartof | Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 1998, p.168-172 vol.3 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Feature extraction Markov random fields Spatiotemporal phenomena Video sequences |
title | Lip features automatic extraction |
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