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Title: Picwords: Render a picture by packing keywords
Authors: Hu, Z.
Liu, S. 
Jiang, J.
Hong, R.
Wang, M.
Yan, S. 
Keywords: Calligram
non-photorealistic rendering
Issue Date: 2014
Citation: Hu, Z., Liu, S., Jiang, J., Hong, R., Wang, M., Yan, S. (2014). Picwords: Render a picture by packing keywords. IEEE Transactions on Multimedia 16 (4) : 1156-1164. ScholarBank@NUS Repository.
Abstract: In this paper, we propose a novel text-art system: input a source picture and some keywords introducing the information about the picture, and the output is the so-called PicWords in the form of the source picture composed of the introduction keywords. Different from traditional text-graphics which are created by highly skilled artists and involve a huge amount of tedious manual work, PicWords is an automatic non-photorealistic rendering (NPR) packing system. Given a source picture, we first generate its silhouette, which is a binary image containing a Yang part and a Yin part. Yang part is for keywords placing while the Yin part can be ignored. Next, the Yang part is further over-segmented into small patches, each of which serves as a container for one keyword. To make sure that more important keywords are put into more salient and larger image patches, we rank both the patches and keywords and construct a correspondence between the patch list and keyword list. Then, mean value coordinates method is used for the keyword-patch warping. Finally, certain post-processing techniques are adopted to improve the aesthetics of PicWords. Extensive experimental results well demonstrate the effectiveness of the proposed PicWords system. © 2014 IEEE.
Source Title: IEEE Transactions on Multimedia
ISSN: 15209210
DOI: 10.1109/TMM.2014.2305635
Appears in Collections:Staff Publications

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