Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3CA22GH |
Repository | sid.inpe.br/sibgrapi/2012/07.15.23.58 |
Last Update | 2012:07.15.23.58.11 apneto@icmc.usp.br |
Metadata | sid.inpe.br/sibgrapi/2012/07.15.23.58.11 |
Metadata Last Update | 2020:02.19.02.18.29 administrator |
Citation Key | CasacaGFTPPNP:2012:CoMuPr |
Title | Colorization by Multidimensional Projection  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 24 |
Number of Files | 1 |
Size | 5392 KiB |
Context area | |
Author | 1 Casaca, Wallace 2 Gomez-Nieto, Erick 3 Ferreira, Cynthia O. L. 4 Tavares, Geovan 5 Pagliosa, Paulo 6 Paulovich, Fernando 7 Nonato, Luis Gustavo 8 Paiva, Afonso |
Affiliation | 1 ICMC-USP 2 ICMC-USP 3 PUC-Rio 4 PUC-Rio 5 UFMS 6 ICMC-USP 7 ICMC-USP 8 ICMC-USP |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | apneto@icmc.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: apneto@icmc.usp.br -> administrator :: 2012 2020-02-19 02:18:29 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | image colorization, image processing, multidimensional projection, high dimensional data. |
Abstract | Most image colorization techniques assign colors to grayscale images by embedding image pixels into a highdimensional feature space and applying a color pattern to each cluster of high-dimensional data. A main drawback of such an approach is that, depending on texture patterns and image complexity, clusters of similar pixels can hardly be defined automatically, rendering existing methods prone to fail. In this work we present a novel approach to colorize grayscale images that allows for user intervention. Our methodology makes use of multidimensional projection to map high-dimensional data to a visual space. User can manipulate projected data in the visual space so as to further improve clusters and thus the colorization result. Different from other methods, our interactive tool is ease of use while still being flexible enough to enable local color modification. We show the effectiveness of our approach through a set of examples and comparisons against existing colorization methods. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3CA22GH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3CA22GH |
Language | en |
Target File | projcolor_final.pdf |
User Group | apneto@icmc.usp.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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