Detail of Publication

Text Language	English
Authors	Motoi Iwata, Eiki Imazu, Koichi Kise
Title	Similarity Learning Based on Pool-Based Active Learning for Manga Character Retrieval
Journal	Proc. of the 3rd IAPR Asian Conference on Pattern Recognition
Presentation number	PS2-26
Number of Pages	6 pages
Location	Aloft Kuala Lumpur Sentral Hotel, Kuala Lumpur, Malaysia
Reviewed or not	Reviewed
Presentation type	Poster
Month & Year	November 2015
Abstract	Manga is Japanese style comics which is one of the most popular publications in Japan. There are some e-book services for selling manga. Unfortunately, most of them handle manga only as the set of images. Some digital media use tags or text data for retrieval, where the tags and text data are produced by handmade input. Our final goal is developing a practical content-based manga retrieval system based on automatic tagging of the contents of manga, for example, place, character, expression, situation, and other information readers are interested in. At the firsts step of this goal, we focus on effective tagging for manga character retrieval because characters are most important elements in manga. We employ the measurement “similarity” to measure the difference between line drawings representing characters. Similarity becomes higher when the two line drawings represent a same character. Similarity is obtained as weighted distance of CMRHOG features, where the weights are obtained by AdaBoost learning. We use pool-based active learning for selecting training data efficiently because the training data should be labeled by handmade which is high cost. Experimental results demonstrates the effectiveness of similarity and the selection of distinctive training samples based on pool-based active learning.

• Entry for BibTeX

  @InProceedings{Iwata2015,
    author =	{Motoi Iwata and Eiki Imazu and Koichi Kise},
    title =	{Similarity Learning Based on Pool-Based Active Learning for Manga Character Retrieval},
    booktitle =	{Proc. of the 3rd IAPR Asian Conference on Pattern Recognition},
    year =	2015,
    month =	nov,
    presenID =	{PS2-26},
    numpages =	{6},
    location =	{Aloft Kuala Lumpur Sentral Hotel, Kuala Lumpur, Malaysia}
  }
  
  
  

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