Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning

Yang, Yi, Zhuang, Yueting, Xu, Dong, Pan, Yunhe, Tao, Dacheng and Maybank, Steve (2009). Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning. In: Proceedings of the 17th ACM international conference on Multimedia. 17th ACM International Conference on Multimedia, Beijing, China, (311-320). 19-24 October 2009. doi:10.1145/1631272.1631316

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Author Yang, Yi
Zhuang, Yueting
Xu, Dong
Pan, Yunhe
Tao, Dacheng
Maybank, Steve
Title of paper Retrieval based interactive cartoon synthesis via unsupervised bi-distance metric learning
Language of Title eng
Conference name 17th ACM International Conference on Multimedia
Conference location Beijing, China
Conference dates 19-24 October 2009
Proceedings title Proceedings of the 17th ACM international conference on Multimedia
Language of Proceedings Title eng
Journal name ACM Digital Library
Language of Journal Name eng
Place of Publication New York, United States
Publisher Association for Computing Machinery
Publication Year 2009
Sub-type Fully published paper
DOI 10.1145/1631272.1631316
ISBN 9781605586083
Start page 311
End page 320
Total pages 10
Language eng
Formatted Abstract/Summary
Cartoons play important roles in many areas, but it requires a lot of labor to produce new cartoon clips. In this paper, we propose a gesture recognition method for cartoon character images with two applications, namely content-based cartoon image retrieval and cartoon clip synthesis. We first define Edge Features (EF) and Motion Direction Features (MDF) for cartoon character images. The features are classified into two different groups, namely intra-features and inter-features. An Unsupervised Bi-Distance Metric Learning (UBDML) algorithm is proposed to recognize the gestures of cartoon character images. Different from the previous research efforts on distance metric learning, UBDML learns the optimal distance metric from the heterogeneous distance metrics derived from intra-features and inter-features. Content-based cartoon character image retrieval and cartoon clip synthesis can be carried out based on the distance metric learned by UBDML. Experiments show that the cartoon character image retrieval has a high precision and that the cartoon clip synthesis can be carried out efficiently.
Keyword Cartoon image
Image retrieval
Cartoon clip synthesis
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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