@inproceedings{02c6021ad33d4cf5901e4378c640ebdd,
title = "Using color sequences for cartoon image retrieval",
abstract = "We propose a practical cartoon image retrieval scheme to retrieve cartoon images efficiently. The proposed scheme transfers each cartoon image to a color sequence using straightforward 8 rules. Subsequently, using the color sequences to compare the cartoon images, namely color sequences comparison. We succeed in transferring the cartoon image retrieval problem to sequences comparison. Thus the computational complexity is decreased obviously. Our system keeps both advantages of the content based cartoon image retrieval system (similarity-based retrieval) and a text based cartoon image retrieval system (very rapid and mature).",
keywords = "CBIR, Color sequence coding, Contents based cartoon images retrieval (CBCIR), Rule based approach, Sequences comparison",
author = "Su, {Ching Hung} and Chiunhsiun Lin and Huang, {Hsuan Shu} and Fan, {Kuo Chin}",
year = "2012",
doi = "10.4028/www.scientific.net/AMR.433-440.5308",
language = "???core.languages.en_GB???",
isbn = "9783037853191",
series = "Advanced Materials Research",
pages = "5308--5312",
booktitle = "Materials Science and Information Technology, MSIT2011",
note = "2011 International Conference on Material Science and Information Technology, MSIT2011 ; Conference date: 16-09-2011 Through 18-09-2011",
}