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PicWords: Render a Picture by Packing Keywords

IEEE Transactions on Multimedia, June 2014, Vol.16(4), pp.1156-1164 [Peer Reviewed Journal]

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  • Title:
    PicWords: Render a Picture by Packing Keywords
  • Author: Zhenzhen Hu ; Si Liu ; Jianguo Jiang ; Richang Hong ; Meng Wang ; Shuicheng Yan
  • Found In: IEEE Transactions on Multimedia, June 2014, Vol.16(4), pp.1156-1164 [Peer Reviewed Journal]
  • Subjects: Rendering (Computer Graphics) ; Calligrams ; Internet ; Multimedia Communication ; Calligram ; Keywords ; Non-Photorealistic Rendering ; Picture ; Picwords ; Engineering ; Computer Science
  • Language: English
  • Description: 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.
  • Identifier: ISSN: 1520-9210 ; E-ISSN: 1941-0077 ; DOI: 10.1109/TMM.2014.2305635

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