Shared Sampling for Real-Time Alpha Matting

Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the...

Full description

Saved in:

Bibliographic Details
Published in:	Computer graphics forum Vol. 29; no. 2; pp. 575 - 584
Main Authors:	Gastal, Eduardo S. L., Oliveira, Manuel M.
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.05.2010
Subjects:	C (programming language) Color Computation Customization I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel classification Image processing systems Mattes Pixels Real time Sampling Systems development
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real‐time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high‐quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real‐time alpha matting of videos, and has the potential to enable a new class of exciting applications.
AbstractList	Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real-time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high-quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real-time alpha matting of videos, and has the potential to enable a new class of exciting applications. Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in recent years on improving the accuracy of matting techniques, one common problem persisted: the low speed of matte computation. We present the first real-time matting technique for natural images and videos. Our technique is based on the observation that, for small neighborhoods, pixels tend to share similar attributes. Therefore, independently treating each pixel in the unknown regions of a trimap results in a lot of redundant work. We show how this computation can be significantly and safely reduced by means of a careful selection of pairs of background and foreground samples. Our technique achieves speedups of up to two orders of magnitude compared to previous ones, while producing high-quality alpha mattes. The quality of our results has been verified through an independent benchmark. The speed of our technique enables, for the first time, real-time alpha matting of videos, and has the potential to enable a new class of exciting applications. [PUBLICATION ABSTRACT]
Author	Oliveira, Manuel M. Gastal, Eduardo S. L.
Author_xml	– sequence: 1 givenname: Eduardo S. L. surname: Gastal fullname: Gastal, Eduardo S. L. organization: Instituto de Informática, UFRGS – sequence: 2 givenname: Manuel M. surname: Oliveira fullname: Oliveira, Manuel M. organization: Instituto de Informática, UFRGS
BookMark	eNqNkEFPwjAYhhuDiYD-h8WLB7PZrmu7HTQhKKhBTQSj8fKlbJ0Ux4btiPDv7cRw8EQvbfq9z9Pm7aBWWZUKIY_ggLh1MQ9IxIUfc5YEIcZJgAkPRbA-QO3doIXa7lb4AjN2hDrWzjHGkeCsjc7HM2lU5o3lYlno8sPLK-M9K1n4E71QXq9YzqT3IOvazY7RYS4Lq07-9i56GdxM-rf-6Gl41--N_NQ5hR_yqUgZFVLkRESMMTKlIk-zME2wJPmUJRmORUQimhGcTVWY0zyLscyI4FnEU9pFZ1vv0lRfK2VrWGibqqKQpapWFoSTc8pC5pKn_5LzamVK9zmgjCcsSRh2oXgbSk1lrVE5LI1eSLMBgqHpEObQVAVNVdB0CL8dwtqhV__QVNey1lVZG6mLfQSXW8G3LtRm74ehPxw0J8f7W17bWq13vDSfwAUVDF4fh0Di9zecXGO4pz_aTJll
CitedBy_id	crossref_primary_10_1088_1742_6596_1237_3_032055 crossref_primary_10_1007_s41095_016_0074_0 crossref_primary_10_1109_TIP_2017_2718664 crossref_primary_10_1007_s00521_024_09431_5 crossref_primary_10_1007_s42979_023_02319_6 crossref_primary_10_1007_s00371_012_0722_z crossref_primary_10_1109_TIP_2018_2872925 crossref_primary_10_3390_app13116512 crossref_primary_10_1002_cav_1465 crossref_primary_10_14358_PERS_21_00078R2 crossref_primary_10_1109_LSP_2013_2274874 crossref_primary_10_1109_TPAMI_2020_2986777 crossref_primary_10_1145_3640017 crossref_primary_10_1016_j_neucom_2020_06_127 crossref_primary_10_1007_s00500_016_2250_7 crossref_primary_10_1002_int_23018 crossref_primary_10_1007_s00521_019_04154_4 crossref_primary_10_1049_iet_ipr_2015_0450 crossref_primary_10_1007_s41095_020_0168_6 crossref_primary_10_1111_j_1467_8659_2011_02038_x crossref_primary_10_3233_THC_218014 crossref_primary_10_1145_3072959_2907940 crossref_primary_10_1109_TMM_2025_3535381 crossref_primary_10_1145_3002176 crossref_primary_10_1145_3408323 crossref_primary_10_1007_s11263_023_01907_6 crossref_primary_10_1109_TIP_2025_3573620 crossref_primary_10_1109_TCSVT_2023_3260025 crossref_primary_10_1109_TNNLS_2014_2369426 crossref_primary_10_1109_ACCESS_2020_2995207 crossref_primary_10_1007_s11042_017_5031_0 crossref_primary_10_2174_1573405620666230515090618 crossref_primary_10_1007_s00371_013_0826_0 crossref_primary_10_1016_j_asoc_2017_05_060 crossref_primary_10_1049_iet_ipr_2016_0308 crossref_primary_10_1109_TIP_2019_2902830 crossref_primary_10_1109_TVCG_2012_319 crossref_primary_10_1587_transinf_E96_D_2096 crossref_primary_10_1145_3072959_3002176 crossref_primary_10_1109_JSTSP_2021_3049634 crossref_primary_10_1111_cgf_13867 crossref_primary_10_1111_cgf_13868 crossref_primary_10_1109_ACCESS_2017_2773651 crossref_primary_10_1049_iet_cvi_2019_0779 crossref_primary_10_1109_TIP_2017_2765827 crossref_primary_10_1109_TPAMI_2012_183 crossref_primary_10_1109_ACCESS_2019_2941832 crossref_primary_10_1109_ACCESS_2018_2796638 crossref_primary_10_1016_j_ins_2020_01_017 crossref_primary_10_1007_s11042_018_5737_7 crossref_primary_10_1016_j_cag_2016_03_004 crossref_primary_10_1109_TCSVT_2021_3132461 crossref_primary_10_1016_j_ins_2021_08_058 crossref_primary_10_1109_TIP_2022_3155958 crossref_primary_10_1007_s00371_022_02542_x crossref_primary_10_1007_s11042_023_17517_w crossref_primary_10_1111_cgf_14168 crossref_primary_10_1007_s00371_011_0583_x crossref_primary_10_1007_s11042_023_17157_0 crossref_primary_10_1016_j_ijleo_2014_03_020 crossref_primary_10_1109_ACCESS_2024_3491494 crossref_primary_10_1109_LSP_2020_3039952 crossref_primary_10_1007_s11263_023_01797_8 crossref_primary_10_3390_s19030607 crossref_primary_10_1007_s11042_022_12469_z crossref_primary_10_1016_j_cag_2017_08_014 crossref_primary_10_1145_2010324_1964964 crossref_primary_10_1007_s11390_017_1709_z crossref_primary_10_1007_s11704_019_8441_5 crossref_primary_10_1109_TNNLS_2017_2727140 crossref_primary_10_3390_app9204426 crossref_primary_10_1007_s11042_023_17331_4 crossref_primary_10_1109_ACCESS_2024_3354720 crossref_primary_10_1016_j_cag_2017_08_010 crossref_primary_10_1016_j_bspc_2022_103656 crossref_primary_10_1145_3649138 crossref_primary_10_1109_TNNLS_2022_3153955 crossref_primary_10_12677_AIRR_2012_11002 crossref_primary_10_1007_s11042_020_09908_0 crossref_primary_10_1109_TPAMI_2025_3584928 crossref_primary_10_1145_2907940 crossref_primary_10_1109_TCSVT_2023_3234983 crossref_primary_10_1049_ipr2_12528 crossref_primary_10_1109_TCSVT_2013_2276153 crossref_primary_10_1049_ipr2_12645 crossref_primary_10_1007_s00530_015_0493_2 crossref_primary_10_1007_s11432_021_3279_y crossref_primary_10_1016_j_compag_2022_107264 crossref_primary_10_1109_TIP_2015_2401516 crossref_primary_10_1109_TPAMI_2016_2606397 crossref_primary_10_1109_TGRS_2020_2988265 crossref_primary_10_1109_TIP_2014_2323132 crossref_primary_10_1007_s11042_017_5357_7 crossref_primary_10_1109_ACCESS_2019_2896084 crossref_primary_10_1145_3540201 crossref_primary_10_1007_s12293_018_0275_4 crossref_primary_10_1016_j_compeleceng_2022_108454 crossref_primary_10_1016_j_asoc_2023_110407 crossref_primary_10_1016_j_jvcir_2014_03_002 crossref_primary_10_1109_TGRS_2023_3247697 crossref_primary_10_1109_TCYB_2017_2747143 crossref_primary_10_1109_TAES_2017_2690529 crossref_primary_10_1049_el_2011_3510 crossref_primary_10_1007_s11042_023_16747_2 crossref_primary_10_1016_j_future_2019_12_012 crossref_primary_10_1109_TPAMI_2023_3326693 crossref_primary_10_1109_TIP_2019_2930146 crossref_primary_10_1109_TCSVT_2014_2302531 crossref_primary_10_1109_TMM_2021_3087007 crossref_primary_10_1109_TFUZZ_2019_2896533 crossref_primary_10_1109_TPAMI_2019_2904963 crossref_primary_10_1109_TPAMI_2013_18 crossref_primary_10_1109_TPAMI_2019_2895331 crossref_primary_10_3390_electronics9040659 crossref_primary_10_1109_TIP_2016_2555705 crossref_primary_10_1007_s00371_013_0897_y crossref_primary_10_3390_electronics13163182 crossref_primary_10_1109_TIP_2016_2593345 crossref_primary_10_1016_j_cag_2013_10_014 crossref_primary_10_1111_cgf_13156 crossref_primary_10_1109_TCSVT_2020_3024213 crossref_primary_10_1109_TIP_2013_2271549 crossref_primary_10_1145_2185520_2185529 crossref_primary_10_33317_ssurj_564 crossref_primary_10_1111_cgf_12232 crossref_primary_10_1007_s11390_022_1690_z crossref_primary_10_1007_s11042_015_3063_x
Cites_doi	10.1109/CVPRW.2008.4563170 10.1109/CVPR.2008.4587441 10.1109/TPAMI.2007.1177 10.1145/1073204.1073231 10.1561/0600000019 10.5244/C.22.115 10.21236/ADA478319 10.1145/1531326.1531376 10.1145/1015706.1015721 10.1145/1276377.1276389 10.1109/CVPR.2009.5206503 10.1109/CVPR.2007.383006 10.1145/218380.218450 10.1109/CVPR.2009.5206491
ContentType	Journal Article
Copyright	2010 The Author(s) Journal compilation © 2010 The Eurographics Association and Blackwell Publishing Ltd. 2010 The Eurographics Association and Blackwell Publishing Ltd.
Copyright_xml	– notice: 2010 The Author(s) Journal compilation © 2010 The Eurographics Association and Blackwell Publishing Ltd. – notice: 2010 The Eurographics Association and Blackwell Publishing Ltd.
DBID	BSCLL AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D F28 FR3
DOI	10.1111/j.1467-8659.2009.01627.x
DatabaseName	Istex CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database
DatabaseTitle	CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering
DatabaseTitleList	Technology Research Database CrossRef Computer and Information Systems Abstracts
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1467-8659
EndPage	584
ExternalDocumentID	2048602651 10_1111_j_1467_8659_2009_01627_x CGF1627 ark_67375_WNG_18ZX09D0_J
Genre	article Feature
GroupedDBID	.3N .4S .DC .GA .Y3 05W 0R~ 10A 15B 1OB 1OC 29F 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 8VB 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABDPE ABEML ABPVW ACAHQ ACBWZ ACCZN ACFBH ACGFS ACPOU ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADMLS ADNMO ADOZA ADXAS ADZMN AEFGJ AEGXH AEIGN AEIMD AEMOZ AENEX AEUYR AEYWJ AFBPY AFEBI AFFNX AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHEFC AHQJS AIDQK AIDYY AIQQE AITYG AIURR AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALVPJ AMBMR AMYDB ARCSS ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BSCLL BY8 CAG COF CS3 CWDTD D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EAD EAP EBA EBO EBR EBS EBU EDO EJD EMK EST ESX F00 F01 F04 F5P FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ I-F IHE IX1 J0M K1G K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QWB R.K RDJ RIWAO RJQFR ROL RX1 SAMSI SUPJJ TH9 TN5 TUS UB1 V8K W8V W99 WBKPD WIH WIK WOHZO WQJ WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAHHS ACCFJ ADZOD AEEZP AEQDE AEUQT AFPWT AIWBW AJBDE ALUQN WRC AAYXX CITATION O8X 7SC 8FD JQ2 L7M L~C L~D F28 FR3
ID	FETCH-LOGICAL-c4767-26b7c537a7f1745551b37fcd2c90a1fb59d0874143d10dbe2f3fd80ad176d46c3
IEDL.DBID	DRFUL
ISICitedReferencesCount	253
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000278182500034&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0167-7055
IngestDate	Fri Sep 05 12:02:24 EDT 2025 Sun Jul 13 03:44:49 EDT 2025 Sat Nov 29 03:41:05 EST 2025 Tue Nov 18 22:18:33 EST 2025 Wed Jan 22 16:22:22 EST 2025 Tue Nov 11 03:33:42 EST 2025
IsPeerReviewed	true
IsScholarly	true
Issue	2
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c4767-26b7c537a7f1745551b37fcd2c90a1fb59d0874143d10dbe2f3fd80ad176d46c3
Notes	ArticleID:CGF1627 ark:/67375/WNG-18ZX09D0-J istex:D87E44145F687B3DFF21CD114FFCBC806FF82877 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
PQID	356959950
PQPubID	30877
PageCount	10
ParticipantIDs	proquest_miscellaneous_753763525 proquest_journals_356959950 crossref_primary_10_1111_j_1467_8659_2009_01627_x crossref_citationtrail_10_1111_j_1467_8659_2009_01627_x wiley_primary_10_1111_j_1467_8659_2009_01627_x_CGF1627 istex_primary_ark_67375_WNG_18ZX09D0_J
PublicationCentury	2000
PublicationDate	May 2010
PublicationDateYYYYMMDD	2010-05-01
PublicationDate_xml	– month: 05 year: 2010 text: May 2010
PublicationDecade	2010
PublicationPlace	Oxford, UK
PublicationPlace_xml	– name: Oxford, UK – name: Oxford
PublicationTitle	Computer graphics forum
PublicationYear	2010
Publisher	Blackwell Publishing Ltd
Publisher_xml	– name: Blackwell Publishing Ltd
References	McGuire M., Matusik W., Pfister H., Hughes J. F., Durand F.: Defocus video matting. ACM Trans. Graph. 24, 3 (2005), 567-576. Omer I., Werman M.: Color lines: Image specific color representation. In CVPR (2004), vol. 2, pp. 946-953. Wang J., Cohen M. F.: Image and video matting: a survey. Foundations and Trends in Computer Graphics and Vision 3, 2 (2007), 97-175. Sun J., Jia J., Tang C.-K., Shum H.-Y.: Poisson matting. ACM Trans. Graph. 23, 3 (2004), 315-321. Levin A., Lischinski D., Weiss Y.: A closed-form solution to natural image matting. TPAMI 30, 2 (2008), 228-242. Chuang Y.-Y., Curless B., Salesin D. H., Szeliski R.: A bayesian approach to digital matting. In CVPR (2001), vol. 2, pp. 264-271. Bai X., Wang J., Simons D., Sapiro G.: Video snapcut: robust video object cutout using localized classifiers. ACM Trans. Graph. 28, 3 (2009), 1-11. Ruzon M., Tomasi C.: Alpha estimation in natural images. In CVPR (2000), vol. 1, pp. 18-25. 2004; 23 2009 2008 2007 1995 2005 2001; 2 Oct. 11 1994 2000; 1 2008; 30 2004; 2 2007; 3 2005; 24 2009; 28 e_1_2_8_16_2 e_1_2_8_17_2 e_1_2_8_18_2 e_1_2_8_19_2 e_1_2_8_12_2 e_1_2_8_13_2 e_1_2_8_14_2 e_1_2_8_9_2 e_1_2_8_2_2 Ruzon M. (e_1_2_8_15_2) 2000; 1 e_1_2_8_3_2 e_1_2_8_6_2 e_1_2_8_5_2 e_1_2_8_8_2 Omer I. (e_1_2_8_11_2) 2004; 2 Chuang Y.‐Y. (e_1_2_8_4_2) 2001; 2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_10_2
References_xml	– reference: Ruzon M., Tomasi C.: Alpha estimation in natural images. In CVPR (2000), vol. 1, pp. 18-25. – reference: Bai X., Wang J., Simons D., Sapiro G.: Video snapcut: robust video object cutout using localized classifiers. ACM Trans. Graph. 28, 3 (2009), 1-11. – reference: Wang J., Cohen M. F.: Image and video matting: a survey. Foundations and Trends in Computer Graphics and Vision 3, 2 (2007), 97-175. – reference: McGuire M., Matusik W., Pfister H., Hughes J. F., Durand F.: Defocus video matting. ACM Trans. Graph. 24, 3 (2005), 567-576. – reference: Sun J., Jia J., Tang C.-K., Shum H.-Y.: Poisson matting. ACM Trans. Graph. 23, 3 (2004), 315-321. – reference: Omer I., Werman M.: Color lines: Image specific color representation. In CVPR (2004), vol. 2, pp. 946-953. – reference: Levin A., Lischinski D., Weiss Y.: A closed-form solution to natural image matting. TPAMI 30, 2 (2008), 228-242. – reference: Chuang Y.-Y., Curless B., Salesin D. H., Szeliski R.: A bayesian approach to digital matting. In CVPR (2001), vol. 2, pp. 264-271. – year: 2009 – start-page: 265 year: 1995 end-page: 272 – volume: 1 start-page: 18 year: 2000 end-page: 25 article-title: Alpha estimation in natural images publication-title: CVPR – start-page: 1 year: 2007 end-page: 8 – start-page: 1 year: 2008 end-page: 8 – start-page: 423 year: 2005 end-page: 429 – volume: 3 start-page: 97 issue: 2 year: 2007 end-page: 175 article-title: Image and video matting: a survey publication-title: Foundations and Trends in Computer Graphics and Vision – volume: 23 start-page: 315 issue: 3 year: 2004 end-page: 321 article-title: Poisson matting publication-title: ACM Trans. Graph – volume: 2 start-page: 946 year: 2004 end-page: 953 article-title: Color lines: Image specific color representation publication-title: CVPR – volume: 28 start-page: 1 issue: 3 year: 2009 end-page: 11 article-title: Video snapcut: robust video object cutout using localized classifiers publication-title: ACM Trans. Graph – start-page: 1155 year: 2008 end-page: 1164 – volume: 30 start-page: 228 issue: 2 year: 2008 end-page: 242 article-title: A closed‐form solution to natural image matting publication-title: TPAMI – year: Oct. 11 1994 – start-page: 1 year: 2008 end-page: 5 – start-page: 9 year: 2007 – volume: 24 start-page: 567 issue: 3 year: 2005 end-page: 576 article-title: Defocus video matting publication-title: ACM Trans. Graph – volume: 2 start-page: 264 year: 2001 end-page: 271 article-title: A bayesian approach to digital matting publication-title: CVPR – ident: e_1_2_8_5_2 doi: 10.1109/CVPRW.2008.4563170 – ident: e_1_2_8_13_2 doi: 10.1109/CVPR.2008.4587441 – ident: e_1_2_8_7_2 doi: 10.1109/TPAMI.2007.1177 – ident: e_1_2_8_9_2 doi: 10.1145/1073204.1073231 – ident: e_1_2_8_19_2 doi: 10.1561/0600000019 – ident: e_1_2_8_6_2 – volume: 2 start-page: 946 year: 2004 ident: e_1_2_8_11_2 article-title: Color lines: Image specific color representation publication-title: CVPR – ident: e_1_2_8_12_2 doi: 10.5244/C.22.115 – ident: e_1_2_8_8_2 – ident: e_1_2_8_2_2 doi: 10.21236/ADA478319 – volume: 1 start-page: 18 year: 2000 ident: e_1_2_8_15_2 article-title: Alpha estimation in natural images publication-title: CVPR – ident: e_1_2_8_3_2 doi: 10.1145/1531326.1531376 – ident: e_1_2_8_16_2 doi: 10.1145/1015706.1015721 – ident: e_1_2_8_18_2 doi: 10.1145/1276377.1276389 – volume: 2 start-page: 264 year: 2001 ident: e_1_2_8_4_2 article-title: A bayesian approach to digital matting publication-title: CVPR – ident: e_1_2_8_14_2 doi: 10.1109/CVPR.2009.5206503 – ident: e_1_2_8_20_2 doi: 10.1109/CVPR.2007.383006 – ident: e_1_2_8_10_2 doi: 10.1145/218380.218450 – ident: e_1_2_8_17_2 doi: 10.1109/CVPR.2009.5206491
SSID	ssj0004765
Score	2.4583607
Snippet	Image matting aims at extracting foreground elements from an image by means of color and opacity (alpha) estimation. While a lot of progress has been made in...
SourceID	proquest crossref wiley istex
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	575
SubjectTerms	C (programming language) Color Computation Customization I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel classification Image processing systems Mattes Pixels Real time Sampling Systems development
Title	Shared Sampling for Real-Time Alpha Matting
URI	https://api.istex.fr/ark:/67375/WNG-18ZX09D0-J/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1467-8659.2009.01627.x https://www.proquest.com/docview/356959950 https://www.proquest.com/docview/753763525
Volume	29
WOSCitedRecordID	wos000278182500034&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1467-8659 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004765 issn: 0167-7055 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEB5k14MefIv1RQ_irZK0adIcRV1FZBEfuHgJadKIKF3ZVfHoT_A3-kvMdLurix5EvBXClHYmX_tNO_MNwJbVlDhKTOSMziMmmPOYsy6SiSfjjGlDXV4NmxDtdtbpyNO6_gl7YQb6EKMPboiM6nmNANd5_zvIM57KWnaS8ljseD7ZjP02Zg1o7p-1Lk8-uyQFT4dK36ghM17X8-O5xl5WTfT7yxgT_cpnqxdSa_Y_b2UOZmpaGu4O9tE8TBTlAkx_EStchAi1nQsbnmssQi9vQk93wzPPM99f37CRJNzFtt0QB4j71SW4bB1c7B1F9bCFyHjHiCjmuTBpIrRwPklJPZHKE-GMjY0k2gcslZZknn6wxFJi8yJ2ibMZ0ZYKbhk3yTI0ym5ZrEDIKYrYO-tTQ8eIIzkrfJ5mUqszaZ02AYihV5WplchxIMa9GstIhEKH4JxMqSqHqJcA6MjyYaDG8Qub7SpwIwPdu8NqNpGqq_ahotl1h8h9oo4DWBtGVtVA7qsk5RI12UgA4WjVIxB_q-iy6D71lUBFHFSVDYBXUf71pam9wxYerf7VcA2mhtUMhK5D47H3VGzApHl-vO33NmsAfACH-QDf
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9NAEB1VSSXgQFs-hNsCPlTcXO3G--E9Vg1JKGlUhVSNuKzWu16EQA5K0qpHfgK_kV_CjuOERO2hQtwsrcayZ_Z5365n3gAcOUOJp8Qm3po8YZL5gDnnE5UGMs6YsdTnVbMJORhk47G6qNsBYS3MQh9ideCGyKi-1whwPJC-i_JMcFXrTlLRkseBUDZZmFW8Ac32sHPZ_1smKQVfSn2jiMxmYs-999pYrZro-NsNKrpOaKsVqbPzX99lF57WxDQ-WcykPdgqymfwZE2u8DkkqO5cuPiTwTT08kscCG88DEzz989fWEoSn2DhbowtxMPoC7jsvB-d9pK63UJig2dk0hK5tDyVRvqwTeGBSuWp9Na1rCImhIwrR7JAQFjqKHF50fKpdxkxjkrhmLDpS2iUk7J4BbGgKGPvXdgcekY8yVkRdmqWO5Mp542NQC7dqm2tRY4tMb7rjT2J1OgQ7JSpdOUQfRsBXVn-WOhxPMDmXRW5lYGZfsN8Nsn11aCrafZ5TFSb6LMIDpah1TWUZzrlQqEqG4kgXo0GDOKPFVMWk-uZlqiJg7qyEYgqzA9-NH3a7eDV_r8avoVHvdF5X_c_DD4ewONlbgOhh9CYT6-L17Btb-ZfZ9M3NRr-AASOBM8
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT9wwEB4hFqFyoEBbESiQA-KWyt74ER8R2_DUCvEQKy6WY8eoahXQLiCO_AR-I7-knmx2YQUHVPUWyZoomckXf5PMfAOw6QwlnhKbeGuKhEnmA-acT1QayDhjxlJf1MMmZLeb9XrquBkHhL0wQ32I8Qc3REb9vkaAlzfOv0V5JrhqdCepaMsfgVC2GFcioLTVOcnPj17aJKXgI6lvFJGZLOx591wTu1ULHf8wQUVfE9p6R8o__9d7WYD5hpjG28MnaRGmymoJ5l7JFX6BBNWdSxefGixDr67iQHjjk8A0nx-fsJUk3sbG3RhHiIfVr3Ce_zzb2UuacQuJDZ6RSVsU0vJUGulDmsIDlSpS6a1rW0VMCBlXjmSBgLDUUeKKsu1T7zJiHJXCMWHTbzBdXVflMsSCooy9dyE59Ix4UrAyZGqWO5Mp542NQI7cqm2jRY4jMf7oiZxEanQITspUunaIfoiAji1vhnocH7DZqiM3NjD931jPJrm-6O5qml32iOoQfRDB6ii0uoHyQKdcKFRlIxHE49WAQfyxYqry-m6gJWrioK5sBKIO84cvTe_s5ni08q-GGzB73Mn10X73cBU-jUobCP0O07f9u3INZuz97a9Bf70Bw1-E5wRK
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Shared+Sampling+for+Real-Time+Alpha+Matting&rft.jtitle=Computer+graphics+forum&rft.au=Gastal%2C+Eduardo+S+L&rft.au=Oliveira%2C+Manuel+M&rft.date=2010-05-01&rft.pub=Blackwell+Publishing+Ltd&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=29&rft.issue=2&rft.spage=575&rft_id=info:doi/10.1111%2Fj.1467-8659.2009.01627.x&rft.externalDBID=NO_FULL_TEXT&rft.externalDocID=2048602651
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-7055&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-7055&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-7055&client=summon