Please use this identifier to cite or link to this item: https://doi.org/10.1109/TMM.2014.2305635
Title: Picwords: Render a picture by packing keywords
Authors: Hu, Z.
Liu, S. 
Jiang, J.
Hong, R.
Wang, M.
Yan, S. 
Keywords: Calligram
keywords
non-photorealistic rendering
picture
PicWords
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. https://doi.org/10.1109/TMM.2014.2305635
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
URI: http://scholarbank.nus.edu.sg/handle/10635/124987
ISSN: 15209210
DOI: 10.1109/TMM.2014.2305635
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Sep 28, 2022

WEB OF SCIENCETM
Citations

8
checked on Sep 28, 2022

Page view(s)

200
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.