Depth and Content Perception Enhance Word Art

Abstract

Text visualization intuitively express a summary composited with graphic symbol and word art composite with the size and position of font character to generate a stylized result Previous work art in computer graphics focus on the 2D word art representation in a simple shape and boundary We introduce a word art with detailed context by considering the depth of the input image Given a 2 5D model by analyzing the depth information of input image First we use mesh parameterization to build a depth enhance texture coordinate Second we build an interactive system to assist user to design the word block An eye tracking visual model is used to explore the attention distribution over an image to guide user to place the key word on most salient image To render the word with depth enhance we generate the word cloud in partial regions on the mesh parameterization We demonstrate a word art with depth and context enhancement compared to several artist works

Date of Award	2016 Feb 16
Original language	English
Supervisor	Tong-Yee Lee (Supervisor)