DocumentCode :
248837
Title :
Sketch2Manga: Sketch-based manga retrieval
Author :
Matsui, Yusuke ; Aizawa, K. ; Yushi Jing
Author_Institution :
Univ. of Tokyo, Tokyo, Japan
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3097
Lastpage :
3101
Abstract :
We propose a sketch-based method for manga image retrieval, in which users draw sketches via a Web browser that enables the automatic retrieval of similar images from a database of manga titles. The characteristics of manga images are different from those of naturalistic images. Despite the widespread attention given to content-based image retrieval systems, the question of how to retrieve manga images effectively has been little studied. We propose a fine multi-scale edge orientation histogram (FMEOH) whereby a number of differently sized squares on a page can be indexed efficiently. Our experimental results show that FMEOH can achieve greater accuracy than a state-of-the-art sketch-based retrieval method [1].
Keywords :
content-based retrieval; database indexing; feature extraction; image retrieval; online front-ends; visual databases; FMEOH; Sketch2Manga; Web browser; automatic similar image retrieval; content-based image retrieval systems; fine-multiscale edge orientation histogram; manga image characteristics; manga title database; sketch-based manga image retrieval; square indexing; Feature extraction; Image edge detection; Image retrieval; Indexes; Labeling; Visualization; Image Retrieval; Manga; Sketch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025626
Filename :
7025626
Link To Document :
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