Handai IDS-JFLI joint Workshop on Media and Graphics 

Osaka University, Nakanoshima Center, Room #301
09-10 May 2018

About the workshop

Handai IDS-JFLI joint Workshop on Media and Graphics
Osaka
May 2018
09:30-17:00
09:30-12:30
10
09

In conjunction of the next CVIM meeting in Osaka, and in celebration of the 160 Anniversary of Japan-France relationships, we are proposing this workshop coorganized by the CNRS Japanese-French Laboratory for Informatics (JFLI) and our newly created Osaka University Institute for Datability Sciences (IDS).

We take this opportunity to bring together experts in Media/Graphics, Artificial Intelligence/Data Science in Osaka and promote collaborations and work communication under this day-and-a-half workshop. 

Join and share your research in Osaka on topics about:

  • VisualizationMultimedia

  • Computer Vision /  Graphics

  • ​Data Science / Artificial Intelligence

  • and more... !

Registration is free but mandatory


​Short Program
​3 presentations
4 presentations
4 presentations
​4 presentations
Wednesday 09
Room #301
09:30-09:55
​09:55-10:55
11:15-12:35
14:00-15:20
​15:40-17:00
Introduction
Forensics
3D
Vis. & Graphics
​Image Analytics
Thursday 10
Room #301
09:30-10:50
11:10-12:30
​4 presentations
4 presentations
Networks & Graphs
​Viz. Analytics
 

Dinner will be Osaka-style sea food at 幸せ料理 きたはち  (Honmachi  area)

Reserved from 18:30 4,000¥/p (course with all-you-can-drink)  

Do you wish to go for dinner together on the 9th?
 

Registration

Sponsors

Institute for Datability Science

Japanese-French 

Laboratory for Informatics

Osaka University

Sous le parrainage de: Ambassade de France / Institut français du Japon

Sciencescope

 

People

Speakers and chairs

Jean-François Baffier

JSPS - Tokyo Institute of Technology

A time-space trade-off black-box data structure for stacks 🔗

[Thu. May 10,  09:50] - The need to run algorithms on limited-memory devices motivated our consideration for data structure in the settings where there is only a limited amount of memory available. We provide a black-box data structure for stack algorithms, transparent to the user, with a high degree of compression at the cost of a small increase in the running time. All of our algorithms are available in C ++ (and Julia) under MIT licenses at: https://github.com/Azzaare/CompressedStacks.cpp.git

Malik Olivier Boussejra

Keio University

LMML: An Environment for Forensic Data Visualization 🔗

[Wed. May 09,  10:35] - Through the autopsy of a body, we can answer a whole range of questions as to how death happened and come up with explanations and counter-measures.The presented framework, based on a mark-up language (that we dubbed “LMML”, for Legal Medicine Mark-up Language) to store, describe and arrange forensic data, aims at overcoming those issues. Thus, through the creation of an ontology for computational forensics, this framework allows quicker, smoother input of forensic data, for better automation and visualization thereof, so that it can be used by medical examiners, investigators, as well as all the people involved in the judicial courts.

Jacob Chan

Osaka University, Institute for Datability Science

Pharmaceutical Brain Image Processing and Modeling 🔗

[Thu. May 10,  11:50] - This presentation introduces one of IDS’s projects where we were tasked to discover deformations of a brain due to pharmaceutical interventions given the unique data collection method by our client’s camera machine. This data collection method presents us with many image processing based challenges such as speckled noise, flickering, guided artifacts, etc. Therefore in this talk, we will first introduce the given data, followed by some of the methods we used to process the images, and the techniques we employed to model and deform the processed brain data for fitting purposes. Finally, we all also discuss the current results, challenges, and future plans of this project.

Feng Ding

Osaka University, Institute for Datability Science

Sharpening Detection in Image Forensics 🔗

[Wed. May 09,  10:15] - A novel method for sharpening detection will be introduced in this talk. This method employs the efficient combination of feature extraction and machine learning. The algorithm for feature extraction is based on texture analysis, and specific designed for sharpening detection. This method is validated to lead the best performance for sharpening detection for now.

Issei Fujishiro

Keio University

Visualization as a means of intelligence amplification 🔗

[Wed. May 09,  14:00] - At IEEE VIS 1993, F. P. Brooks, Jr. presented an inequality “IA > AI.” Visualization can be regarded as a representative means of Intelligence Amplification. In this talk, I strive to justify this inequality with a few results of our latest visualization R&D projects.

Adrien Gruson

The University of Tokyo & JFLI

Recent Advances in Gradient-Domain Rendering 🔗

[Wed. May 09,  14:40] - The most common solutions to the light transport problem rely on Monte Carlo integration in the primal-domain. This talk will introduce recent advances in gradient-domain light transport to improve the convergence rate of the estimation.

Ryota Hinami

The University of Tokyo & National Institute of Informatics

Region Based Image Retrieval Revisited 🔗

[Wed. May 09,  15:00] - We revisit region based image retrieval by incorporating semantic specification of objects and intuitive specification of spatial relationships. We support multiple aspects of semantic object specification with a multitask CNN  to jointly handle multi-aspect object specification. We help users specify spatial relationships among objects in an intuitive way, with recommendations by mining the search results. We can recommend spatial relationships by category names based on language prior. Moreover, object-level inverted indexing and re-ranking are instantaneous.

Matthew J. Holland

Osaka University, Institute for Datability Science

Better Quantization: Efficiency Through Robustness 🔗

[Wed. May 09,  15:40] - The properties of distortion-based clustering methods are well-understood when the data is well-behaved in an approximately Gaussian sense, but all statistical guarantees fall apart when heavy-tailed observations are admitted. Distributionally robust methods have been proposed, but their implementation is non-trivial and does not scale in the data dimension. We consider a new approach, which is easily implemented and has much better dependence on the dimension.

Ichiro Ide

Nagoya University

Assessment of the Attractiveness of Food Photos 🔗

[Wed. May 09,  16:40] - This talk will introduce a method for estimating the attractiveness of food photos from image features to support the generation, filtering, and re-ranking of the contents.

Koji Koyamada

Kyoto University

Visual Causality Exploration and its Applications 🔗

[Thu. May 10,  11:10] - In this talk, we would like to introduce our activities on visual causality exploration. They include an interactive specification of a latent variable which explains several observable variables by using a causality graph in a phenotypic expression network, and an interactive exploration of a causality between two time-varying variables defined on dicrete points.

Yusuke Matsui

National Institute of Informatics

Sketch-based Manga Retrieval 🔗

[Wed. May 09,  16:00] - We introduce a sketch-based retrieval method over manga images, with a large-scale manga dataset Manga109.

Siim Meerits

Keio University

Volumetric Reconstruction of Dynamic Scenes Without Storing Volumes 🔗

[Wed. May 09,  12:15] - We present a novel real-time 3D reconstruction method for dynamic scenes using multiple RGB-D cameras. Our approach uses GPU based volumetric reconstruction, but the volume is not stored in GPU main memory. Lowered memory requirements allow reconstruction of very large scenes.

Hajime Nagahara

Osaka University, Institute for Datability Science

Presentation of the Osaka University Institute for Datability Science

Yuta Nakashima

Osaka University, Institute for Datability Science

Session chair

Hiroaki Natsukawa

Kyoto University

Visual Analytics System of Changing Nonlinear Interactions in Real Systems 🔗

[Thu. May 10,  10:30] - In real systems, the relationships among time series variables are not generally static; rather they are dynamically changing in a manner that is nonlinear or state-dependent. In this talk, I will talk about a visual analytic system to support the identification and interpretation of the system state from a dynamically changing graph.

Vincent Nozick

University of Paris East Marne La Vallée / JFLI / Keio University

Digital Image Forensics and CG images 🔗

[Wed. May 09,  09:55] - The process to detect if an image has been falsified or is an original belongs to the field of digital image forensics. In this framework, this talk presents some tools to automatically detect if an image is a computer graphic image or a natural image. Like in some previous methods, this approach focuses on the image noise properties, and like more and more forensics technics, it is based on a deep learning framework.

Geometric Algebra and Quadrics

[Thu. May 10,  11:30] - Geometric algebra is a set of tools to create, transform and intersect geometric objects. This talk presents a short introduction to geometric algebra, then presents some applications to easily compute quadric surfaces (ellipsoid, paraboloids, hyperboloid, cones, spheres, planes, ....) and quadric curves (conic sections, lines, ...).

Benjamin Renoust

Osaka University, Institute for Datability Science & JFLI

Fifty thousand Buddha Faces: a Big Data take on an Art History project 🔗

[Thu. May 10,  12:10] - This talk introduces a new joint project started with the department of litterature, on the large scale analysis of Buddha statue pictures. It all started with one hard drive and fifty thousand pictures.

Hideo Saito

Keio University

Session chair

Thomas Silverston

Sciencescope, Shibaura Institute of Technology

Introduction to Sciencescope 🔗

[Thu. May 10,  09:30] - This talk introduced by the president of Sciencescope will present the association, its activities and the coming event RCFK2018  

On Future Internet Technology: ICN, IoT and Cybersecurity 🔗

[Thu. May 10,  09:40] - Information-Centric Networking is a novel approach for Future Internet architecture. This talks aims at introducing this concept and discusses its impact on content delivery (e.g., video streaming), cybersecurity and IoT.

Roland Sireyjol

Kyushu University

Transparent Object Classification using Various CNN 🔗

[Wed. May 09,  11:35] - Image processing techniques recently improve a lot, whether by hand-made features, or neural networks. However, no efficient and easy to use techniques have been found yet for transparent object classification (TOC). In this talk, we propose multiple approaches to tackle this challenge using various CNN architectures. Comparing those approaches’s pros and cons, reagrding its resource consumtion and final result, can help us identify which method is the most efficient, and why.

Akihiro Sugimoto

National Institute of Informatics

Session chair

Riku Takano

Tokyo Institute of Technology

Interactive high-dimensional visualization 🔗

[Wed. May 09,  14:20] - Interactive high-dimensional visualization technique renders complex information on a high-dimensional Euclidean space.  The user watches at the two-dimensional projection of the high-dimensional rendering and controls his/her view by changing the projection via simple user interaction.  This talk presents applications of this technique in visual analytics of multidimensional data and social networks.

Noriko Takemura

Osaka University, Institute for Datability Science

Session chair

Diego Thomas

Kyushu University

VMPFusion: Variational Message Passing for dynamic 3D face reconstruction 🔗

[Wed. May 09,  11:55] - In this talk I will describe a probabilistic approach for dynamic 3D face modeling using a consumer-grade RGB-D camera. In this research my goal is to formulate a strategy to fuse noisy 3D measurements captured with a Kinect camera into a 3D facial model without relying on explicit point correspondences. We propose to tackle this challenging problem with the Variational Message Passing (VMP) algorithm, which optimize a variational distribution using a message passing procedure on a graphical model. We show the validity of our formulation with real-data experiments.

Yuki Uranishi

Osaka University, Cybermedia Center

Computer Vision toward Photometric-consistent Augmented Reality 🔗

[Wed. May 09,  16:20] - The photometric consistency between a real environment and virtual objects is an important issue in improving an Augmented Reality (AR) environment. To render photometrically consistent virtual objects, properties of the light sources and the floor surfaces should be estimated in real-time. Computer Vision (CV) techniques for the photometric-consistent AR are introduced in the presentation.

Tiphaine Viard

RIKEN

Stream graphs and links streams for the modelling of interactions over time 🔗

[Thu. May 10,  10:10] - We present a generalization of graph concepts in order to model streams of interactions over time, i.e. face-to-face contacts, email exchanges, phone calls, etc. From elementary concepts like density, clusters, or paths, we obtain more advanced concepts like cliques, degrees, clustering coefficients, or connected components. The consistency of the language we develop makes it easy to generalize higher-level objects such as quotient graphs, line graphs, k-cores, and centralities. We will present the core of this formalism, as well as current exciting research directions.

Ken Wakita

Tokyo Institute of Technology

Interactive high-dimensional visualization 🔗

[Wed. May 09,  14:20] - Interactive high-dimensional visualization technique renders complex information on a high-dimensional Euclidean space.  The user watches at the two-dimensional projection of the high-dimensional rendering and controls his/her view by changing the projection via simple user interaction.  This talk presents applications of this technique in visual analytics of multidimensional data and social networks.

Yichao Xu

Osaka University, Institute for Datability Science

Transparent Object Segmentation in a Light-field Image 🔗

[Wed. May 09,  11:15] -  In this talk, I will introduce the recent progress of transparent object segmentation in the light-field image captured by both camera array and lenslet camera.

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Organisers

Hajime Nagahara

Osaka University - Institute for Datability Science

Vincent Nozick

University of Paris-Est Marne la Vallée / JFLI / Keio University

Benjamin Renoust

Osaka University - Institute for Datability Science / JFLI

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

​20 minutes away from the Nakanoshima Rose Gardent

​In the heart of Osaka city, the venue is at walking distance from many stations:

​(Hankyu lines, JR lines, Hanshin line, Tanimachi line, Midosuji line, Osaka loop)

  • Osaka/Umeda - 16mn​​

  • Nishi Umeda - 14mn

  • Kita shinchi - 13mn

​(Yotsubashi line, Osaka loop, Hanshin line, JR Touzai-Gakkentoshi, Keihan Nakanoshima line)

  • Higobashi - 11mn

  • Fukushima - 10mn

  • Shin-Fukushima - 8mn

  • Watanabebashi - 5mn 

  • Nakanoshima - 4mn

​20 minutes away from the Nakanoshima Rose Gardent

Dinner (18:30~): 幸せ料理 きたはち (Shiawase Ryouri Kita Hachi)

2 Chome-6-10 Minamikyuhojimachi, Chuo, Osaka, Osaka Prefecture

541-0058

​In the heart of Osaka city, the venue is at walking distance from many stations:

​(Hankyu lines, JR lines, Hanshin line, Tanimachi line, Midosuji line, Osaka loop)

  • Osaka/Umeda - 16mn​​

  • Nishi Umeda - 14mn

  • Kita shinchi - 13mn

​(Yotsubashi line, Osaka loop, Hanshin line, JR Touzai-Gakkentoshi, Keihan Nakanoshima line)

  • Higobashi - 11mn

  • Fukushima - 10mn

  • Shin-Fukushima - 8mn

  • Watanabebashi - 5mn 

  • Nakanoshima - 4mn

Venue

 

Osaka University,

Nakanoshima Center,

​ROOM #301

4 Chome-3-53 Nakanoshima, Kita, Osaka, Osaka Prefecture 530-0005

Detailed Program

 

Wednesday, 9th of May 2018, Room #301

Introduction

09:00 - 09-30 - Welcoming the guests - #301 Osaka University Nakanoshima Center

09:30 - 09:35 - Opening - Benjamin Renoust

09:35 - 09:45 - Introduction of the Osaka University Institute for Datability Science - Hajime Nagahara

09:45 - 09:55 - Introduction of the CNRS Japanese-French Laboratory for Informatics - Vincent Nozick

Session 1- Forensics - Chair: Hajime Nagahara

9:55 - 10:15 -  Digital Image Forensics and CG Images 🔗 - Vincent Nozick

10:15 - 10:35 - A Survey in Image Forensics in Recent Years 🔗 - Feng Ding

10:35 - 10:55 - LMML: An Environment for Forensic Data Visualization 🔗 - Malik Olivier Boussejra

10:55 - 11:15 - Coffee break

Session 2 - 3D - Chair: Hideo Saito

Session 3 - Visualization and Graphics - Chair: Benjamin Renoust

14:00 - 14:20 - Visualization as a Means of Intelligence Amplification 🔗 - Issei Fujishiro

14:20 - 14:40 - Interactive High-Dimensional Visualization 🔗 - Ken Wakita & Riku Takano

14:40 - 15:00 - Recent Advances in Gradient-Domain Rendering 🔗 - Adrien Gruson

15:00 - 15:20 - Region Based Image Retrieval Revisited 🔗 - Ryota Hinami

15:20 - 15:40 - Coffee break

Session 4 - Image Analytics - Chair: Yuta Nakashima

15:40 - 16:00 - Better Quantization: Efficiency Through Robustness 🔗 - Matthew J. Holland

16:00 - 16:20 - Sketch-based Manga Retrieval 🔗 - Yusuke Matsui

16:20 - 16:40 - Computer Vision toward Photometric-consistent Augmented Reality 🔗 - Yuki Uranishi 

16:40 - 17:00 - Assessment of the Attractiveness of Food Photos 🔗 - Ichiro Ide

18:30 ~ Dinner at 幸せ料理 きたはち

Thursday, 10th of May 2018, Room #301

09:30 - 09:40 - Introduction to Sciencescope 🔗 - Thomas Silverston

Session 5 - Networks and Graphs - Chair: Marc Bruyère

Session 6 - Visualization and Analytics - Chair: Ken Wakita

11:10 - 11:30 - Visual Causality Exploration and its Applications 🔗 - Koji Koyamada

11:30 - 11:50 - Geometric Algebra and Quadrics 🔗 - Vincent Nozick

11:50 - 12:10 - Pharmaceutical Brain Image Processing and Modeling 🔗 - Jacob Chan

12:10 - 12:30 - Fifty thousand Buddha Faces: a Big Data take on an Art History project 🔗 - Benjamin Renoust

12:30 - 12:35 - Closing remarks - Benjamin Renoust

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Handai IDS

​JFLI Workshop