Tag Cloud++ - Scalable Tag Clouds for Arbitrary Layouts

Abstract

Tag-clouds are becoming extremely popular in multimedia community as media of exploration and expression. In this work, we take tag-cloud construction to a new level by allowing a tag-cloud to take any arbitrary shape while preserving some order of tags (here alphabetical). Our method guarantees non-overlap among words and ensures compact representation within specified shape. The experiments on a variety of input set of tags and shapes of the tag-clouds show that the proposed method is promising and has real-time performance. Finally, we show the applicability of our method with an application wherein the tag-clouds specific to places, people, and keywords are constructed and used for digital media selection within a social network domain.