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	Interactive cartoon reusing by transfer learning
	Yu, Jun ; Yu J(俞俊) ; Cheng, Jun ; Tao, Dacheng
	2012-09
关键词	Reusing Visual features Semantic gap Transfer learning Subsspace
英文摘要	Cartoon character retrieval is critical for cartoonists to effectively and efficiently make cartoons by reusing existing cartoon data. To successfully achieve these tasks, it is essential to extract visual features to comprehensively represent cartoon characters and accurately estimate dissimilarity between cartoon characters. In this paper, we define three visual features: Hausdorff contour feature (HCF), color histogram (CH) and motion feature (MF), to characterize the shape, color and motion structure information of a cartoon character. The HCF can be referred as intra-features, and the features of CH and MF can be regarded as inter-feature. However, due to the semantic gap, the cartoon retrieval by using these visual features still cannot achieve excellent performance. Since the labeling information has been proven effective to reduce the semantic gap, we introduce a labeling procedure called interactive cartoon labeling (ICL). The labeling information actually reflects user's retrieval purpose. A new dimension reduction tool, termed sparse transfer learning (SPA-TL), is adopted to effectively and efficiently encode user's search intention. In particular, SPA-TL exploits two pieces of knowledge data, i.e., the labeling knowledge contained in labeled data and the data distribution knowledge contained in all samples (labeled and unlabeled). The low-dimensional subspace is obtained by transferring the user feedback knowledge from labeled samples to unlabeled samples by preserving the sample distribution knowledge. Experimental evaluations in cartoon synthesis suggest the effectiveness of the visual features and SPA-TL. 2012 Elsevier B.V. All rights reserved.; National Natural Science Foundation of China [61100104]; Australian ARC [ARC DP-120103730]; Guangdong-CAS [2010A090100016]; National Defense Basic Scientific Research program of China [B1420110155]; CAS; Locality Cooperation Projects [ZNGZ-2011-012]; Shenzhen-Kong Kong Innovation Circle Project [JSE201007200037A]; Key Laboratory of Robotics and Intelligent System of Guangdong Province [2009A060800016]; Shenzhen Key Laboratory of Precision Engineering [CXB201005250018A]; Introduced Innovative R&D Team of Guangdong Province
语种	英语
出版者	ELSEVIER SCIENCE BV
内容类型	期刊论文
源URL	[http://dx.doi.org/10.1016/j.sigpro.2012.01.028]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Yu, Jun,Yu J,Cheng, Jun,et al. Interactive cartoon reusing by transfer learning[J],2012.
APA	Yu, Jun,俞俊,Cheng, Jun,&Tao, Dacheng.(2012).Interactive cartoon reusing by transfer learning..
MLA	Yu, Jun,et al."Interactive cartoon reusing by transfer learning".(2012).

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