Lifelog-Style Experience Recording and Analysis for Group Activities
|
|
- Blaze Lambert
- 5 years ago
- Views:
Transcription
1 Lifelog-Style Experience Recording and Analysis for Group Activities Yuichi Nakamura Academic Center for Computing and Media Studies, Kyoto University
2 Lifelog and Grouplog for Experience Integration entering room take something camera in glasses captures First Person Vision leaving personal memory working integrating life logs of many people showing experiences on a large display
3 LifeLog through FPV RECORDING AND RECALLING PERSONAL EXPERIENCE head-mount camera: First Person View videos Digitized and structured
4 Grouplog: capturing activities through First person Vision It must be Why? I think so! How d think a it?
5 First Person Vision Videos The personal view records Advantages Rich information (compared to texts, audio, or photos) Record what the user sees (good trigger of memory) Disadvantages long and redundant data bad quality (shaky, etc.)
6 a b c d e
7 Summary of Personal View Records WHERE WHAT Objects or Scenes to which a user paid attention
8 Example of Summary (1) 2002/12/11 9:30-10:25 laboratory Meeting 2002/12/11 10:35-11:00 experimental lab Display the video by projector 2002/12/11 12:05-12:40 home Today s menu is Mexican. This is delicious!
9 Scenes of Attention indices for personal view records Active motion for gazing at Active Attention Stay looking at Passive Attention
10 Detecting Scenes of Attention our previous method geometric transformation parameters The image is converted to the image taken at the viewpoint of image T at time T- T frame. significant difference subtraction if the movement is small, the image make passive attention. Detect Difference the changed image region
11 Detect Scenes of Attention geometric transformation parameters The image is converted to the image taken at the viewpoint of image T at time T- T frame. significant difference. hybrid model subtraction (2D and 3D model) 2. screening of false detections if the movement is small, the image make passive attention. Detect the changed region
12 a b c d
13 a b c d
14 e f
15 The result of Detecting Scenes of Attention
16 The result of Detecting Scenes of Attention
17 Link between a surveillance view and a personal view Personal view analyze a user s behavior detect a scene of attention Linking Surveillance view track a human in the view detect a user s location
18 Use of surveillance camera
19 GUI Browser Results of integration with the personal view where and what the user paid attention what the user did
20 Group Log
21 What is Group Log? Multimedia Log of Experimental and Educational Group Activities Field work study, Outdoor activity, educational trip, etc. I think so! It must be How do you think about it? Why?
22 Why Group Log? Review group activities so as to make good use of the obtained knowledge for future experiences For participants : inspire their metacognition For organizers : give valuable feedback about the activity Summarize own experiences Review and discuss conducted activities
23 Collective First person View Video A First person view (FPV) video records Scene, Objects, Events that a person looked Head motions and moving events Collective FPV video Consists of FPV video logs of all participant The FPV videos interact for each other Person A Person D Person B Person E camera Person C Person F
24 Issues on Collective FPV Video Not easy to review Unstable camera work, e.g. rapid shaking Difficulty in simultaneously reviewing multiple FPV videos Long time video log of all participants
25 Integrating experiences outdoor school for an elementary school same events different view points with different behaviors various aspect of the same events
26 personal experience when, what, and where each person did
27 Reflection B saw what A was doing... subjective objective => comprehensive
28 differences and diversity different points of view among persons at the same place
29 finding organization two groups were generated without supervising
30 Vision research on FPV Videos re framing, gazing estimation, summarization
31 Re framing of FPV Video Re framing for easy review Stabilize Zoom into and track a particular interesting object Zoom out to understand a whole scene Re framed video may have lack on the view Input video Re framed video
32 Idea : Interpolation How to fill the lack Temporal interpolation : use scenes captured at different time Spatial interpolation : estimate outer region Actual camera work lack Temporal Spatial Space lack Requested Re framing Time
33 Processing flow Space time Over drawing Temporal Spatial Background Image Re framing output
34 Temporal interpolation Algorithms Image stitching with correspondences of local feature points Spatial interpolation Image inpainting
35 Results Input video Proposed Method With lacks
36 Tech: Estimation of gazes Estimate a gaze through scene construction Visual SLAM(Simultaneous Localization and Mapping) Unify coordinate systems of multiple gazes Use a visual marker as a reference coordinate system y x z
37 Visualizing Lines of Sight Relationship between lines of sight (LoS) give Concentration, diffusion, translation of interest Difference of interest in multiple person Los distribution view
38 Algorithm Head mounted camera Visual marker (AR toolkit) t i View lines of B and C on A s view Person A t 1 t 2 Person B Person C Capture ptam AR toolkit Rendering : frame including the visual marker : frame not including the visual marker run ptam Used for ptam init. run ptam Person A Person B Merge coordinate systems t
39 Summarization of FPV video Summarize portions of a FPV video with synthesized image boards to interpret situations at a glance Summarize about gazing action Summarize about conversation Summarize about using tool Etc. Summary boards representation t FPV video Gazing Action Conversation Using Tool
40 Summary board about gazing action Captured FPV video Synthesized summary board
41 Grouplog: capturing activities through First person Vision It must be Why? I think so! How d think a it?
42 Thank you for your attention!
3D and Sequential Representations of Spatial Relationships among Photos
3D and Sequential Representations of Spatial Relationships among Photos Mahoro Anabuki Canon Development Americas, Inc. E15-349, 20 Ames Street Cambridge, MA 02139 USA mahoro@media.mit.edu Hiroshi Ishii
More informationInteractive Tables. ~Avishek Anand Supervised by: Michael Kipp Chair: Vitaly Friedman
Interactive Tables ~Avishek Anand Supervised by: Michael Kipp Chair: Vitaly Friedman Tables of Past Tables of Future metadesk Dialog Table Lazy Susan Luminous Table Drift Table Habitat Message Table Reactive
More informationActivities at SC 24 WG 9: An Overview
Activities at SC 24 WG 9: An Overview G E R A R D J. K I M, C O N V E N E R I S O J T C 1 S C 2 4 W G 9 Mixed and Augmented Reality (MAR) ISO SC 24 and MAR ISO-IEC JTC 1 SC 24 Have developed standards
More informationHELPING THE DESIGN OF MIXED SYSTEMS
HELPING THE DESIGN OF MIXED SYSTEMS Céline Coutrix Grenoble Informatics Laboratory (LIG) University of Grenoble 1, France Abstract Several interaction paradigms are considered in pervasive computing environments.
More informationSuper resolution with Epitomes
Super resolution with Epitomes Aaron Brown University of Wisconsin Madison, WI Abstract Techniques exist for aligning and stitching photos of a scene and for interpolating image data to generate higher
More informationCS123. Programming Your Personal Robot. Part 3: Reasoning Under Uncertainty
CS123 Programming Your Personal Robot Part 3: Reasoning Under Uncertainty Topics For Part 3 3.1 The Robot Programming Problem What is robot programming Challenges Real World vs. Virtual World Mapping and
More informationInterior Design with Augmented Reality
Interior Design with Augmented Reality Ananda Poudel and Omar Al-Azzam Department of Computer Science and Information Technology Saint Cloud State University Saint Cloud, MN, 56301 {apoudel, oalazzam}@stcloudstate.edu
More informationDistributed Vision System: A Perceptual Information Infrastructure for Robot Navigation
Distributed Vision System: A Perceptual Information Infrastructure for Robot Navigation Hiroshi Ishiguro Department of Information Science, Kyoto University Sakyo-ku, Kyoto 606-01, Japan E-mail: ishiguro@kuis.kyoto-u.ac.jp
More informationMarco Cavallo. Merging Worlds: A Location-based Approach to Mixed Reality. Marco Cavallo Master Thesis Presentation POLITECNICO DI MILANO
Marco Cavallo Merging Worlds: A Location-based Approach to Mixed Reality Marco Cavallo Master Thesis Presentation POLITECNICO DI MILANO Introduction: A New Realm of Reality 2 http://www.samsung.com/sg/wearables/gear-vr/
More informationAugmented Reality. Virtuelle Realität Wintersemester 2007/08. Overview. Part 14:
Part 14: Augmented Reality Virtuelle Realität Wintersemester 2007/08 Prof. Bernhard Jung Overview Introduction to Augmented Reality Augmented Reality Displays Examples AR Toolkit an open source software
More informationImage Processing (EA C443)
Image Processing (EA C443) OBJECTIVES: To study components of the Image (Digital Image) To Know how the image quality can be improved How efficiently the image data can be stored and transmitted How the
More informationISCW 2001 Tutorial. An Introduction to Augmented Reality
ISCW 2001 Tutorial An Introduction to Augmented Reality Mark Billinghurst Human Interface Technology Laboratory University of Washington, Seattle grof@hitl.washington.edu Dieter Schmalstieg Technical University
More informationPREFACE. Introduction
PREFACE Introduction Preparation for, early detection of, and timely response to emerging infectious diseases and epidemic outbreaks are a key public health priority and are driving an emerging field of
More informationISO JTC 1 SC 24 WG9 G E R A R D J. K I M K O R E A U N I V E R S I T Y
New Work Item Proposal: A Standard Reference Model for Generic MAR Systems ISO JTC 1 SC 24 WG9 G E R A R D J. K I M K O R E A U N I V E R S I T Y What is a Reference Model? A reference model (for a given
More informationTableau Machine: An Alien Presence in the Home
Tableau Machine: An Alien Presence in the Home Mario Romero College of Computing Georgia Institute of Technology mromero@cc.gatech.edu Zachary Pousman College of Computing Georgia Institute of Technology
More informationROAD TO THE BEST ALPR IMAGES
ROAD TO THE BEST ALPR IMAGES INTRODUCTION Since automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR) relies on optical character recognition (OCR) of images, it makes
More informationMulti-Modal User Interaction
Multi-Modal User Interaction Lecture 4: Multiple Modalities Zheng-Hua Tan Department of Electronic Systems Aalborg University, Denmark zt@es.aau.dk MMUI, IV, Zheng-Hua Tan 1 Outline Multimodal interface
More informationAUGMENTED REALITY AS AN AID FOR THE USE OF MACHINE TOOLS
Engineering AUGMENTED REALITY AS AN AID FOR THE USE OF MACHINE TOOLS Jean-Rémy CHARDONNET 1 Guillaume FROMENTIN 2 José OUTEIRO 3 ABSTRACT: THIS ARTICLE PRESENTS A WORK IN PROGRESS OF USING AUGMENTED REALITY
More informationDevelopment of Hybrid Image Sensor for Pedestrian Detection
AUTOMOTIVE Development of Hybrid Image Sensor for Pedestrian Detection Hiroaki Saito*, Kenichi HatanaKa and toshikatsu HayaSaKi To reduce traffic accidents and serious injuries at intersections, development
More informationContext Sensitive Interactive Systems Design: A Framework for Representation of contexts
Context Sensitive Interactive Systems Design: A Framework for Representation of contexts Keiichi Sato Illinois Institute of Technology 350 N. LaSalle Street Chicago, Illinois 60610 USA sato@id.iit.edu
More informationLecture 26: Eye Tracking
Lecture 26: Eye Tracking Inf1-Introduction to Cognitive Science Diego Frassinelli March 21, 2013 Experiments at the University of Edinburgh Student and Graduate Employment (SAGE): www.employerdatabase.careers.ed.ac.uk
More informationTelling What-Is-What in Video. Gerard Medioni
Telling What-Is-What in Video Gerard Medioni medioni@usc.edu 1 Tracking Essential problem Establishes correspondences between elements in successive frames Basic problem easy 2 Many issues One target (pursuit)
More informationBackground Pixel Classification for Motion Detection in Video Image Sequences
Background Pixel Classification for Motion Detection in Video Image Sequences P. Gil-Jiménez, S. Maldonado-Bascón, R. Gil-Pita, and H. Gómez-Moreno Dpto. de Teoría de la señal y Comunicaciones. Universidad
More informationAugmented and Virtual Reality
CS-3120 Human-Computer Interaction Augmented and Virtual Reality Mikko Kytö 7.11.2017 From Real to Virtual [1] Milgram, P., & Kishino, F. (1994). A taxonomy of mixed reality visual displays. IEICE TRANSACTIONS
More information11Beamage-3. CMOS Beam Profiling Cameras
11Beamage-3 CMOS Beam Profiling Cameras Key Features USB 3.0 FOR THE FASTEST TRANSFER RATES Up to 10X faster than regular USB 2.0 connections (also USB 2.0 compatible) HIGH RESOLUTION 2.2 MPixels resolution
More informationAugmented reality as an aid for the use of machine tools
Augmented reality as an aid for the use of machine tools Jean-Rémy Chardonnet, Guillaume Fromentin, José Outeiro To cite this version: Jean-Rémy Chardonnet, Guillaume Fromentin, José Outeiro. Augmented
More informationReal-time Cooperative Multi-target Tracking by Dense Communication among Active Vision Agents
Real-time Cooperative Multi-target Tracking by Dense Communication among Active Vision Agents Norimichi Ukita Graduate School of Information Science, Nara Institute of Science and Technology ukita@ieee.org
More informationpreface Motivation Figure 1. Reality-virtuality continuum (Milgram & Kishino, 1994) Mixed.Reality Augmented. Virtuality Real...
v preface Motivation Augmented reality (AR) research aims to develop technologies that allow the real-time fusion of computer-generated digital content with the real world. Unlike virtual reality (VR)
More informationMOBAJES: Multi-user Gesture Interaction System with Wearable Mobile Device
MOBAJES: Multi-user Gesture Interaction System with Wearable Mobile Device Enkhbat Davaasuren and Jiro Tanaka 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577 Japan {enkhee,jiro}@iplab.cs.tsukuba.ac.jp Abstract.
More informationInteracting within Virtual Worlds (based on talks by Greg Welch and Mark Mine)
Interacting within Virtual Worlds (based on talks by Greg Welch and Mark Mine) Presentation Working in a virtual world Interaction principles Interaction examples Why VR in the First Place? Direct perception
More informationThe Oscilloscope. Vision is the art of seeing things invisible. J. Swift ( ) OBJECTIVE To learn to operate a digital oscilloscope.
The Oscilloscope Vision is the art of seeing things invisible. J. Swift (1667-1745) OBJECTIVE To learn to operate a digital oscilloscope. THEORY The oscilloscope, or scope for short, is a device for drawing
More informationAUGMENTED REALITY APPLICATIONS USING VISUAL TRACKING
AUGMENTED REALITY APPLICATIONS USING VISUAL TRACKING ABSTRACT Chutisant Kerdvibulvech Department of Information and Communication Technology, Rangsit University, Thailand Email: chutisant.k@rsu.ac.th In
More informationMagic Leap Soundfield Audio Plugin user guide for Unity
Magic Leap Soundfield Audio Plugin user guide for Unity Plugin Version: MSA_1.0.0-21 Contents Get started using MSA in Unity. This guide contains the following sections: Magic Leap Soundfield Audio Plugin
More informationVICs: A Modular Vision-Based HCI Framework
VICs: A Modular Vision-Based HCI Framework The Visual Interaction Cues Project Guangqi Ye, Jason Corso Darius Burschka, & Greg Hager CIRL, 1 Today, I ll be presenting work that is part of an ongoing project
More informationAugmented and mixed reality (AR & MR)
Augmented and mixed reality (AR & MR) Doug Bowman CS 5754 Based on original lecture notes by Ivan Poupyrev AR/MR example (C) 2008 Doug Bowman, Virginia Tech 2 Definitions Augmented reality: Refers to a
More informationCSE 190: Virtual Reality Technologies LECTURE #7: VR DISPLAYS
CSE 190: Virtual Reality Technologies LECTURE #7: VR DISPLAYS Announcements Homework project 2 Due tomorrow May 5 at 2pm To be demonstrated in VR lab B210 Even hour teams start at 2pm Odd hour teams start
More informationAUGMENTED REALITY, FEATURE DETECTION Applications on camera phones. Prof. Charles Woodward, Digital Systems VTT TECHNICAL RESEARCH CENTRE OF FINLAND
AUGMENTED REALITY, FEATURE DETECTION Applications on camera phones Prof. Charles Woodward, Digital Systems VTT TECHNICAL RESEARCH CENTRE OF FINLAND AUGMENTED REALITY (AR) Mixes virtual objects with view
More informationAn Agent-Based Architecture for Large Virtual Landscapes. Bruno Fanini
An Agent-Based Architecture for Large Virtual Landscapes Bruno Fanini Introduction Context: Large reconstructed landscapes, huge DataSets (eg. Large ancient cities, territories, etc..) Virtual World Realism
More informationDepartment of Computer Science and Engineering The Chinese University of Hong Kong. Year Final Year Project
Digital Interactive Game Interface Table Apps for ipad Supervised by: Professor Michael R. Lyu Student: Ng Ka Hung (1009615714) Chan Hing Faat (1009618344) Year 2011 2012 Final Year Project Department
More informationCS 262 Lecture 01: Digital Images and Video. John Magee Some material copyright Jones and Bartlett
CS 262 Lecture 01: Digital Images and Video John Magee Some material copyright Jones and Bartlett 1 Overview/Questions What is digital information? What is color? How do pictures get encoded into binary
More informationDepartment of Computer Science and Engineering The Chinese University of Hong Kong. Year Final Year Project
Digital Interactive Game Interface Table Apps for ipad Supervised by: Professor Michael R. Lyu Student: Ng Ka Hung (1009615714) Chan Hing Faat (1009618344) Year 2011 2012 Final Year Project Department
More informationE90 Project Proposal. 6 December 2006 Paul Azunre Thomas Murray David Wright
E90 Project Proposal 6 December 2006 Paul Azunre Thomas Murray David Wright Table of Contents Abstract 3 Introduction..4 Technical Discussion...4 Tracking Input..4 Haptic Feedack.6 Project Implementation....7
More informationCity in The Box - CTB Helsinki 2003
City in The Box - CTB Helsinki 2003 An experimental way of storing, representing and sharing experiences of the city of Helsinki, using virtual reality technology, to create a navigable multimedia gallery
More informationImage Processing for feature extraction
Image Processing for feature extraction 1 Outline Rationale for image pre-processing Gray-scale transformations Geometric transformations Local preprocessing Reading: Sonka et al 5.1, 5.2, 5.3 2 Image
More informationFigure 1 HDR image fusion example
TN-0903 Date: 10/06/09 Using image fusion to capture high-dynamic range (hdr) scenes High dynamic range (HDR) refers to the ability to distinguish details in scenes containing both very bright and relatively
More informationInsights into High-level Visual Perception
Insights into High-level Visual Perception or Where You Look is What You Get Jeff B. Pelz Visual Perception Laboratory Carlson Center for Imaging Science Rochester Institute of Technology Students Roxanne
More informationPROPOSED SYSTEM FOR MID-AIR HOLOGRAPHY PROJECTION USING CONVERSION OF 2D TO 3D VISUALIZATION
International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 7, Issue 2, March-April 2016, pp. 159 167, Article ID: IJARET_07_02_015 Available online at http://www.iaeme.com/ijaret/issues.asp?jtype=ijaret&vtype=7&itype=2
More informationVirtual Environments. Ruth Aylett
Virtual Environments Ruth Aylett Aims of the course 1. To demonstrate a critical understanding of modern VE systems, evaluating the strengths and weaknesses of the current VR technologies 2. To be able
More informationSummary of robot visual servo system
Abstract Summary of robot visual servo system Xu Liu, Lingwen Tang School of Mechanical engineering, Southwest Petroleum University, Chengdu 610000, China In this paper, the survey of robot visual servoing
More informationLive Hand Gesture Recognition using an Android Device
Live Hand Gesture Recognition using an Android Device Mr. Yogesh B. Dongare Department of Computer Engineering. G.H.Raisoni College of Engineering and Management, Ahmednagar. Email- yogesh.dongare05@gmail.com
More informationMECHANICAL DESIGN LEARNING ENVIRONMENTS BASED ON VIRTUAL REALITY TECHNOLOGIES
INTERNATIONAL CONFERENCE ON ENGINEERING AND PRODUCT DESIGN EDUCATION 4 & 5 SEPTEMBER 2008, UNIVERSITAT POLITECNICA DE CATALUNYA, BARCELONA, SPAIN MECHANICAL DESIGN LEARNING ENVIRONMENTS BASED ON VIRTUAL
More informationTablet System for Sensing and Visualizing Statistical Profiles of Multi-Party Conversation
2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE) Tablet System for Sensing and Visualizing Statistical Profiles of Multi-Party Conversation Hiroyuki Adachi Email: adachi@i.ci.ritsumei.ac.jp
More informationStudents: Avihay Barazany Royi Levy Supervisor: Kuti Avargel In Association with: Zoran, Haifa
Students: Avihay Barazany Royi Levy Supervisor: Kuti Avargel In Association with: Zoran, Haifa Spring 2008 Introduction Problem Formulation Possible Solutions Proposed Algorithm Experimental Results Conclusions
More informationWhat was the first gestural interface?
stanford hci group / cs247 Human-Computer Interaction Design Studio What was the first gestural interface? 15 January 2013 http://cs247.stanford.edu Theremin Myron Krueger 1 Myron Krueger There were things
More informationIndependent Component Analysis- Based Background Subtraction for Indoor Surveillance
Independent Component Analysis- Based Background Subtraction for Indoor Surveillance Du-Ming Tsai, Shia-Chih Lai IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 1, pp. 158 167, JANUARY 2009 Presenter
More informationImproved SIFT Matching for Image Pairs with a Scale Difference
Improved SIFT Matching for Image Pairs with a Scale Difference Y. Bastanlar, A. Temizel and Y. Yardımcı Informatics Institute, Middle East Technical University, Ankara, 06531, Turkey Published in IET Electronics,
More informationPassive Bilateral Teleoperation
Passive Bilateral Teleoperation Project: Reconfigurable Control of Robotic Systems Over Networks Márton Lırinc Dept. Of Electrical Engineering Sapientia University Overview What is bilateral teleoperation?
More informationConsumer Behavior when Zooming and Cropping Personal Photographs and its Implications for Digital Image Resolution
Consumer Behavior when Zooming and Cropping Personal Photographs and its Implications for Digital Image Michael E. Miller and Jerry Muszak Eastman Kodak Company Rochester, New York USA Abstract This paper
More informationPRACTICAL IMAGE AND VIDEO PROCESSING USING MATLAB
PRACTICAL IMAGE AND VIDEO PROCESSING USING MATLAB OGE MARQUES Florida Atlantic University *IEEE IEEE PRESS WWILEY A JOHN WILEY & SONS, INC., PUBLICATION CONTENTS LIST OF FIGURES LIST OF TABLES FOREWORD
More informationCS 354R: Computer Game Technology
CS 354R: Computer Game Technology http://www.cs.utexas.edu/~theshark/courses/cs354r/ Fall 2017 Instructor and TAs Instructor: Sarah Abraham theshark@cs.utexas.edu GDC 5.420 Office Hours: MW4:00-6:00pm
More informationThe Mixed Reality Book: A New Multimedia Reading Experience
The Mixed Reality Book: A New Multimedia Reading Experience Raphaël Grasset raphael.grasset@hitlabnz.org Andreas Dünser andreas.duenser@hitlabnz.org Mark Billinghurst mark.billinghurst@hitlabnz.org Hartmut
More informationCurriculum Vitae. Computer Vision, Image Processing, Biometrics. Computer Vision, Vision Rehabilitation, Vision Science
Curriculum Vitae Date Prepared: 01/09/2016 (last updated: 09/12/2016) Name: Shrinivas J. Pundlik Education 07/2002 B.E. (Bachelor of Engineering) Electronics Engineering University of Pune, Pune, India
More information3D Virtual Worlds and the Active Worlds Toolkit
3D Virtual Worlds and the Active Worlds Toolkit Our contribution to the discussion of spatially explicit, multi-participatory software platforms for the Interdisciplinary Experimental Lab Katy Börner &
More informationToward an Augmented Reality System for Violin Learning Support
Toward an Augmented Reality System for Violin Learning Support Hiroyuki Shiino, François de Sorbier, and Hideo Saito Graduate School of Science and Technology, Keio University, Yokohama, Japan {shiino,fdesorbi,saito}@hvrl.ics.keio.ac.jp
More informationWhite paper. Wide dynamic range. WDR solutions for forensic value. October 2017
White paper Wide dynamic range WDR solutions for forensic value October 2017 Table of contents 1. Summary 4 2. Introduction 5 3. Wide dynamic range scenes 5 4. Physical limitations of a camera s dynamic
More informationDevelopment of an Automatic Camera Control System for Videoing a Normal Classroom to Realize a Distant Lecture
Development of an Automatic Camera Control System for Videoing a Normal Classroom to Realize a Distant Lecture Akira Suganuma Depertment of Intelligent Systems, Kyushu University, 6 1, Kasuga-koen, Kasuga,
More informationROOM AND CONCERT HALL ACOUSTICS MEASUREMENTS USING ARRAYS OF CAMERAS AND MICROPHONES
ROOM AND CONCERT HALL ACOUSTICS The perception of sound by human listeners in a listening space, such as a room or a concert hall is a complicated function of the type of source sound (speech, oration,
More informationBrowsing Audio Life-log Data Using Acoustic and Location Information
Browsing Audio Life-log Data Using Acoustic and Location Information Kiichiro Yamano Graduate School of Computer and Information Sciences Hosei University 3-7-2 Kajino-cho, 184-8584 Koganei, Japan Email:
More informationVIRTUAL REALITY Introduction. Emil M. Petriu SITE, University of Ottawa
VIRTUAL REALITY Introduction Emil M. Petriu SITE, University of Ottawa Natural and Virtual Reality Virtual Reality Interactive Virtual Reality Virtualized Reality Augmented Reality HUMAN PERCEPTION OF
More informationUsing Simulation to Design Control Strategies for Robotic No-Scar Surgery
Using Simulation to Design Control Strategies for Robotic No-Scar Surgery Antonio DE DONNO 1, Florent NAGEOTTE, Philippe ZANNE, Laurent GOFFIN and Michel de MATHELIN LSIIT, University of Strasbourg/CNRS,
More informationMULTI-LAYERED HYBRID ARCHITECTURE TO SOLVE COMPLEX TASKS OF AN AUTONOMOUS MOBILE ROBOT
MULTI-LAYERED HYBRID ARCHITECTURE TO SOLVE COMPLEX TASKS OF AN AUTONOMOUS MOBILE ROBOT F. TIECHE, C. FACCHINETTI and H. HUGLI Institute of Microtechnology, University of Neuchâtel, Rue de Tivoli 28, CH-2003
More informationLa photographie numérique. Frank NIELSEN Lundi 7 Juin 2010
La photographie numérique Frank NIELSEN Lundi 7 Juin 2010 1 Le Monde digital Key benefits of the analog2digital paradigm shift? Dissociate contents from support : binarize Universal player (CPU, Turing
More informationVisual Media Processing Using MATLAB Beginner's Guide
Visual Media Processing Using MATLAB Beginner's Guide Learn a range of techniques from enhancing and adding artistic effects to your photographs, to editing and processing your videos, all using MATLAB
More informationA Review over Different Blur Detection Techniques in Image Processing
A Review over Different Blur Detection Techniques in Image Processing 1 Anupama Sharma, 2 Devarshi Shukla 1 E.C.E student, 2 H.O.D, Department of electronics communication engineering, LR College of engineering
More informationOn the data compression and transmission aspects of panoramic video
Title On the data compression and transmission aspects of panoramic video Author(s) Ng, KT; Chan, SC; Shum, HY; Kang, SB Citation Ieee International Conference On Image Processing, 2001, v. 2, p. 105-108
More informationHigh Dynamic Range Imaging
High Dynamic Range Imaging 1 2 Lecture Topic Discuss the limits of the dynamic range in current imaging and display technology Solutions 1. High Dynamic Range (HDR) Imaging Able to image a larger dynamic
More informationGLOSSARY for National Core Arts: Media Arts STANDARDS
GLOSSARY for National Core Arts: Media Arts STANDARDS Attention Principle of directing perception through sensory and conceptual impact Balance Principle of the equitable and/or dynamic distribution of
More informationVirtual Reality I. Visual Imaging in the Electronic Age. Donald P. Greenberg November 9, 2017 Lecture #21
Virtual Reality I Visual Imaging in the Electronic Age Donald P. Greenberg November 9, 2017 Lecture #21 1968: Ivan Sutherland 1990s: HMDs, Henry Fuchs 2013: Google Glass History of Virtual Reality 2016:
More informationLWIR NUC Using an Uncooled Microbolometer Camera
LWIR NUC Using an Uncooled Microbolometer Camera Joe LaVeigne a, Greg Franks a, Kevin Sparkman a, Marcus Prewarski a, Brian Nehring a, Steve McHugh a a Santa Barbara Infrared, Inc., 30 S. Calle Cesar Chavez,
More information2009 New Jersey Core Curriculum Content Standards - Technology
P 2009 New Jersey Core Curriculum Content s - 8.1 Educational : All students will use digital tools to access, manage, evaluate, and synthesize information in order to solve problems individually and collaboratively
More informationIntelligent Dynamic Noise Reduction (idnr) Technology
Video Systems Intelligent Dynamic Noise Reduction (idnr) Technology Intelligent Dynamic Noise Reduction (idnr) Technology Innovative technologies found in Bosch HD and Megapixel IP cameras can effectively
More informationExtending X3D for Augmented Reality
Extending X3D for Augmented Reality Seventh AR Standards Group Meeting Anita Havele Executive Director, Web3D Consortium www.web3d.org anita.havele@web3d.org Nov 8, 2012 Overview X3D AR WG Update ISO SC24/SC29
More informationAugmented Reality Mixed Reality
Augmented Reality and Virtual Reality Augmented Reality Mixed Reality 029511-1 2008 년가을학기 11/17/2008 박경신 Virtual Reality Totally immersive environment Visual senses are under control of system (sometimes
More informationThe Use of Digital Technologies to Enhance User Experience at Gansu Provincial Museum
The Use of Digital Technologies to Enhance User Experience at Gansu Provincial Museum Jun E 1, Feng Zhao 2, Soo Choon Loy 2 1 Gansu Provincial Museum, Lanzhou, 3 Xijnxi Road 2 Amber Digital Solutions,
More informationCSE 190: 3D User Interaction
Winter 2013 CSE 190: 3D User Interaction Lecture #4: Displays Jürgen P. Schulze, Ph.D. CSE190 3DUI - Winter 2013 Announcements TA: Sidarth Vijay, available immediately Office/lab hours: tbd, check web
More informationInteractive Simulation: UCF EIN5255. VR Software. Audio Output. Page 4-1
VR Software Class 4 Dr. Nabil Rami http://www.simulationfirst.com/ein5255/ Audio Output Can be divided into two elements: Audio Generation Audio Presentation Page 4-1 Audio Generation A variety of audio
More informationReal-Time Cooperative Multi-Target Tracking by Communicating Active Vision Agents
Real-Time Cooperative Multi-Target Tracking by Communicating Active Vision Agents Takashi Matsuyama Department of Intelligent Science and Technology Graduate School of Informatics, Kyoto University Sakyo,
More informationChapter 18 Optical Elements
Chapter 18 Optical Elements GOALS When you have mastered the content of this chapter, you will be able to achieve the following goals: Definitions Define each of the following terms and use it in an operational
More informationDigital Image Processing
Digital Image Processing Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall, 2008. Digital Image Processing
More informationModeling and Synthesis of Aperture Effects in Cameras
Modeling and Synthesis of Aperture Effects in Cameras Douglas Lanman, Ramesh Raskar, and Gabriel Taubin Computational Aesthetics 2008 20 June, 2008 1 Outline Introduction and Related Work Modeling Vignetting
More informationApplication of Computer Aided Design in Ceramic Art Design
2017 International Conference on Manufacturing Construction and Energy Engineering (MCEE 2017) ISBN: 978-1-60595-483-7 Application of Computer Aided Design in Ceramic Art Design Jin Gui Yao Abstract: Computer
More informationA simulation tool for evaluating digital camera image quality
A simulation tool for evaluating digital camera image quality Joyce Farrell ab, Feng Xiao b, Peter Catrysse b, Brian Wandell b a ImagEval Consulting LLC, P.O. Box 1648, Palo Alto, CA 94302-1648 b Stanford
More informationPortfolio. Swaroop Kumar Pal swarooppal.wordpress.com github.com/swarooppal1088
Portfolio About Me: I am a Computer Science graduate student at The University of Texas at Dallas. I am currently working as Augmented Reality Engineer at Aireal, Dallas and also as a Graduate Researcher
More informationHeads up interaction: glasgow university multimodal research. Eve Hoggan
Heads up interaction: glasgow university multimodal research Eve Hoggan www.tactons.org multimodal interaction Multimodal Interaction Group Key area of work is Multimodality A more human way to work Not
More informationMulti-Resolution Design for Large-Scale and High-Resolution Monitoring
1256 IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 13, NO. 6, DECEMBER 2011 Multi-Resolution Design for Large-Scale and High-Resolution Monitoring Kuan-Wen Chen, Chih-Wei Lin, Tzu-Hsuan Chiu, Mike Yen-Yang Chen,
More informationIs Food Scenery? Generative Situations in Urban Networked Photography
Is Food Scenery? Generative Situations in Urban Networked Photography Andrea Moed, Daniela Rosner, Nancy Van House School of Information, University of California, Berkeley [amoeda, daniela, vanhouse]@ischool.berkeley.edu
More informationDigital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye
Digital Image Processing 2 Digital Image Fundamentals Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Those who wish to succeed must ask the right preliminary questions Aristotle Images
More informationHeroX - Untethered VR Training in Sync'ed Physical Spaces
Page 1 of 6 HeroX - Untethered VR Training in Sync'ed Physical Spaces Above and Beyond - Integrating Robotics In previous research work I experimented with multiple robots remotely controlled by people
More informationData-Starved Artificial Intelligence
Data-Starved Artificial Intelligence Data-Starved Artificial Intelligence This material is based upon work supported by the Assistant Secretary of Defense for Research and Engineering under Air Force Contract
More informationDigital Image Fundamentals. Digital Image Processing. Human Visual System. Contents. Structure Of The Human Eye (cont.) Structure Of The Human Eye
Digital Image Processing 2 Digital Image Fundamentals Digital Imaging Fundamentals Christophoros Nikou cnikou@cs.uoi.gr Images taken from: R. Gonzalez and R. Woods. Digital Image Processing, Prentice Hall,
More information