May 24, 2011

The 106th GCOE Seminar

1. “Layout Recognition and Information Extraction of Historical Document Images”

Lecturer: Chulapong Panichkriangkrai (RA/Digital Archive Technology Research Group/
Ritsumeikan University Graduate School of Science and Engineering D1)
 
2. “Applications of Mathematical Morphology and Kansei Engineering on Digital Humanities”
Lecturer: Liang Li (PD/Digital Archive Technology Research Group/Ritsumeikan Global
Innovation Research Organization)
 
3. “Fusion Visualization of Funehoko Based on Particle-based Rendering”
Lecturer: Hasegawa Kyoko (PD/Digital Archive Technology Research Group)
 
Time: May 24 (Tues.) 18:00-19:30 (6th Period)
 
Place: (Kinugasa) Ritsumeikan University Art Research Center Multipurpose Room
(BKC) Please use the Internet (Power Live)
Free of charge (no reservation required)
 
* The general public may also participate in the seminar through the Internet.
* Those who wish to participate on the Internet, please contact tkiri@fc.ritsumei.ac.jp (Attn:
Kirimura)
* GCOE research members and those who already have ID and passwords do not need to
contact us.
* Starting in the afternoon on the day of the event, materials can be viewed at the following
link (for a limited time):
http://www.arc.ritsumei.ac.jp/dhjac/GCOESeminar/haihusiryo-index.html
 
To view presentation abstracts, please click on “more” below.

 

1. Chulapong Panichkriangkrai, “Layout Recognition and Information Extraction of Historical Document Images”

In my previous studies, I conducted a research on layout analysis of modern academic document. This time, we are focusing on extracting information from Japanese historical document images. The Japanese documents have their uniqueness in such as characters, illustrations, page layout and printing technology used at that period. The objectives of the study are to develop a system for analyzing historical documents published in the Edo period extracting texts and illustrations from the document image. Then we convert document structure into XML document.

2. Liang Li, “Applications of Mathematical Morphology and Kansei Engineering on DigitalHumanities”

Mathematical morphology is a theory for the analysis of spatial structures which is commonly applied to image processing. Kansei engineering (Affective engineering) is an approach to connect human sensibility with engineering applications. In this presentation, we will introduce some of our previous researches on mathematical morphology and kansei engineering, as well as their possible applications on the field of digital humanities.

3. Hasegawa Kyoko, “Fusion Visualization of Funehoko Based on Particle-based Rendering”

Recently, particle-based rendering has been proposed as a method for translucent visualization. Particle-based rendering is often divided into two processes: the large-scale preparation of particles and rendering. If particles are first prepared, then rendering can be carried out at a high speed. This research uses two types of data for particles: data measured from funehoko and data created from their modeling. By creating a translucent visualization based on a fusion of the two differing models, I created a visualization of the internal composition of funehoko.

 

2. Liang Li, “Applications of Mathematical Morphology and Kansei Engineering on Digital Humanities”

 

3. Hasegawa Kyoko, “Fusion Visualization of Funehoko Based on Particle-based Rendering”




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