Semantic-Preserving Word Clouds by Seam Carving
| dc.contributor.author | Wu, Yingcai | en_US |
| dc.contributor.author | Provan, Thomas | en_US |
| dc.contributor.author | Wei, Furu | en_US |
| dc.contributor.author | Liu, Shixia | en_US |
| dc.contributor.author | Ma, Kwan-Liu | en_US |
| dc.contributor.editor | H. Hauser, H. Pfister, and J. J. van Wijk | en_US |
| dc.date.accessioned | 2014-02-21T20:23:24Z | |
| dc.date.available | 2014-02-21T20:23:24Z | |
| dc.date.issued | 2011 | en_US |
| dc.description.abstract | Word clouds are proliferating on the Internet and have received much attention in visual analytics. Although word clouds can help users understand the major content of a document collection quickly, their ability to visually compare documents is limited. This paper introduces a new method to create semantic-preserving word clouds by leveraging tailored seam carving, a well-established content-aware image resizing operator. The method can optimize a word cloud layout by removing a left-to-right or top-to-bottom seam iteratively and gracefully from the layout. Each seam is a connected path of low energy regions determined by a Gaussian-based energy function. With seam carving, we can pack the word cloud compactly and effectively, while preserving its overall semantic structure. Furthermore, we design a set of interactive visualization techniques for the created word clouds to facilitate visual text analysis and comparison. Case studies are conducted to demonstrate the effectiveness and usefulness of our techniques. | en_US |
| dc.description.number | 3 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 30 | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2011.01923.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.3.6 [Computer Graphics] | en_US |
| dc.subject | Methodology and Techniques | en_US |
| dc.subject | Interaction Techniques | en_US |
| dc.title | Semantic-Preserving Word Clouds by Seam Carving | en_US |