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Understanding Visualization Idioms Through Deep Visualization
딥 비주얼라이제이션을 통한 시각화 이디엄의 이해

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Authors
김원재
Advisor
서진욱
Major
공과대학 컴퓨터공학부
Issue Date
2018-02
Publisher
서울대학교 대학원
Keywords
Information VisualizationVisualization IdiomDeep LearningDeep VisualizationGenerative Model
Description
학위논문 (석사)-- 서울대학교 대학원 : 공과대학 컴퓨터공학부, 2018. 2. 서진욱.
Abstract
Visualization (vis) idioms define the way visual representations are created and manipulated. Well-known vis idioms include familiar charts such as bar charts and pie charts. Vis research and applications require thorough understanding of vis idioms. As a medium to understand vis idioms, I suggest a novel approach that employs deep visualization. Deep visualization is a collective name of methods for visualizing the characteristics of neurons in deep neural networks by generating their preferred stimuli (images). In this paper, I present two neural networks, one classifying the type of vis idioms, and one generating images of given idiom type. By applying deep visualization on the neural classifier through the neural generator, I examine how deep visualization can help vis researchers understand diverse aspects of vis idioms in novel ways and potentially derive unexplored idioms.
Language
English
URI
https://hdl.handle.net/10371/141564
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Computer Science and Engineering (컴퓨터공학부)Theses (Master's Degree_컴퓨터공학부)
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