The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
En utilisant la requête par croquis, nous proposons une application permettant de créer efficacement des collages avec une certaine interaction de l'utilisateur. À l’aide de traits de couleurs grossiers qui représentent le collage cible, les images sont automatiquement récupérées et segmentées pour créer un collage homogène. La base de données est indexée à l'aide de caractéristiques géométriques et de couleurs simples pour chaque région, ainsi que d'histogrammes qui représentent ces caractéristiques pour chaque image. La collection d’images est ensuite interrogée au moyen d’un simple outil de peinture. Les segments individuels récupérés sont ajoutés au collage à l’aide de l’édition d’image de Poisson ou du cache alpha. L'utilisateur peut modifier les segmentations par défaut de manière interactive, ainsi que les options de position, d'échelle et de fusion pour chaque objet. Le collage résultant peut ensuite être utilisé comme requête d’entrée pour trouver d’autres images pertinentes dans la base de données.
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David GAVILAN, Suguru SAITO, Masayuki NAKAJIMA, "Query-by-Sketch Based Image Synthesis" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 9, pp. 2341-2352, September 2008, doi: 10.1093/ietisy/e91-d.9.2341.
Abstract: Using query-by-sketch we propose an application to efficiently create collages with some user interaction. Using rough color strokes that represent the target collage, images are automatically retrieved and segmented to create a seamless collage. The database is indexed using simple geometrical and color features for each region, and histograms that represent these features for each image. The image collection is then queried by means of a simple paint tool. The individual segments retrieved are added to the collage using Poisson image editing or alpha matting. The user is able to modify the default segmentations interactively, as well as the position, scale, and blending options for each object. The resulting collage can then be used as an input query to find other relevant images from the database.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.9.2341/_p
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@ARTICLE{e91-d_9_2341,
author={David GAVILAN, Suguru SAITO, Masayuki NAKAJIMA, },
journal={IEICE TRANSACTIONS on Information},
title={Query-by-Sketch Based Image Synthesis},
year={2008},
volume={E91-D},
number={9},
pages={2341-2352},
abstract={Using query-by-sketch we propose an application to efficiently create collages with some user interaction. Using rough color strokes that represent the target collage, images are automatically retrieved and segmented to create a seamless collage. The database is indexed using simple geometrical and color features for each region, and histograms that represent these features for each image. The image collection is then queried by means of a simple paint tool. The individual segments retrieved are added to the collage using Poisson image editing or alpha matting. The user is able to modify the default segmentations interactively, as well as the position, scale, and blending options for each object. The resulting collage can then be used as an input query to find other relevant images from the database.},
keywords={},
doi={10.1093/ietisy/e91-d.9.2341},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Query-by-Sketch Based Image Synthesis
T2 - IEICE TRANSACTIONS on Information
SP - 2341
EP - 2352
AU - David GAVILAN
AU - Suguru SAITO
AU - Masayuki NAKAJIMA
PY - 2008
DO - 10.1093/ietisy/e91-d.9.2341
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2008
AB - Using query-by-sketch we propose an application to efficiently create collages with some user interaction. Using rough color strokes that represent the target collage, images are automatically retrieved and segmented to create a seamless collage. The database is indexed using simple geometrical and color features for each region, and histograms that represent these features for each image. The image collection is then queried by means of a simple paint tool. The individual segments retrieved are added to the collage using Poisson image editing or alpha matting. The user is able to modify the default segmentations interactively, as well as the position, scale, and blending options for each object. The resulting collage can then be used as an input query to find other relevant images from the database.
ER -