SlideShare a Scribd company logo
Woontack Woo, Ph.D.
KAIST UVR Lab.
Daejeon, Korea
ISO SC24 WG9, [Jan. 14, 2016]
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 1
 Based on Two Domestic Standards
◦ TTAK.KO-10.0434 (Dec. 2010): Representation for AR: POI, Content, Link
◦ TTAK.KO-10.0851 (Dec. 2015): Metadata for AR content visualization & sharing
 Proposal on “Metadata: data about data”
◦ Metadata modeling for context-aware MAR services,
 what::Status, (physical/virtual object ID)
 who::Role, (author profile)
 when::Time, (created, modified)
 where::Location, (geographical/relative position)
 how::Action, (link/interaction/response method)
 why::Goal,
◦ Meta-tagging: the process of adding metadata with 5W1H
to various physical/virtual assets/entities
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 2
 Milgram's Reality-Virtuality Continuum [94]
 Azuma's definition on AR [97]
◦ combines real and virtual
◦ is interactive in real time
◦ is registered in real 3D world
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 3
 UVR: MAR for DigiLog Life (Woo)
◦ 3D Link between dual (real & virtual) spaces with
additional information
◦ CoI (Context-of-Interest) Augmentation, not just
sight: sound, haptics, smell, taste, etc.
◦ Bidirectional Interaction/collaboration (UX) in dual
spaces
SPACES
Private (3rd skin)
Social
General/Public
Real space
Social	Networks
Seamless
Augmentation btw
dual spaces
How
to
Link
Seam
lessly? CoI
LINK
AR‐Content
Virtual space
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 4
 Holistic Layers of Spaces
.
.
.
.
.
.
Real/Physical
Virtual/Cyber
Information/
Knowledge
SPACE
TIME
Layers Social/wisidom
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 5
 MAR as Metaverse
Modeling
Interaction
Networking
SensingMetaverse
Measured	
Space
Physical	
Space
Virtual	
Space
SensingModeling
Anchoring
(Augmentation)
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 6
 Enhance Experience, Engage, Edutainment
UVR	Simulator Augmented	Room
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 7
 Application Demo
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 8
 Increased Interest and Demands on MAR
◦ Popularized since the advent of so-called “AR Browsers”
◦ Ubiquitous VR, Extended R, Cross R, co-existence R, etc.
 However, Incompatible MAR Contents
◦ Most AR contents are not re-usable in other applications
◦ Different “processes, data structure/format, etc.”
◦ More importantly, differences in linking approach
 The key of MAR services is
◦ Metadata for Anchoring between “Real” + “Virtual”
 However,
◦ No Standardized “metadata” Format for MAR content
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 9
 Support MAR Use Cases: Augmenting
◦ Location with Virtual Content (VC)
◦ Fixed/Movable Real Object (RO) with VC
◦ One’s own VC over Other User’s RO
◦ Multiple VC onto a RO from Multiple Users
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 10
 Goal: Representation of Metadata Should
◦ Be platform independent and interoperable
◦ Enable searching, filtering, and sharing of MAR content with
 structured fields 5W1H: (Who, When, Where, What, How) + Why
◦ Be concise, compact, yet flexible, extensible to use
 Support various MAR use cases
 Scope: Be able to refer
◦ PoI: real entity (person/object/space/location) or content
◦ VoI: MAR content (image, text, video, audio, 3D model)
◦ AR Anchor: Link between RC & VC:– contains the
instructions for MAR visualization
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 11
 ISO/IEC CD 18039
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 13
External 
Services
User profile 
(Experience, 
Knowledge, 
Behavior)
Simulator 
(Event, Space)
Renderer
MAR Execution Engine
Conceptualized PoIs
Personal Device Display
User 
Interface
MAR Scene
(Events, Targets, …)
Environment (or 
wearable) Sensors 
for Real World 
Capturer
Internet of Thing 
(IoT)
Sensors
Sensors
GPS
Compass
Gyro sensor
Personal Device 
Embedded
Camera
Media 
Assets
MAR Content
Virtual
Object
Information
Physical 
World
Related MAR Contents
Open API
Physical World
User
User
Input
User
Command
Enhanced
Experience
MAR 
Visualization
Recognition Data
MAR Anchor
Selected PoI
Context Analyzer 
PoI Analyzer
User Localization
View Point Setting
PoI Analyzing
Context Processor
Context Integration
Context Inference
Context Management
Recognized
PoIs
User Context
Sensor Data 
PoI Recognition
Data
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 14
5W1H Metadata	Schema
who MAR	Contents.{Owner,	Creator}
when
MAR	Contents.{Created	Time,	Modified	Time,	Accessed	Time,	
Duration},	CHE	Information.{Begin	Time,	End	Time}
where CHE	Information.{Location}
what
MAR	Contents.{ID,	Name,	Type,	Tag,	Reference,	MAR	
Anchor.ID},	CHE	Information.{Type,	Description},	VO.{Type,	
String,	Data	File},	Media	Asset.{Type,	Data	File}
how CHE	Information.{Condition	state}
Anchor
PoI: Metadata1
3 MAR Content: 
Metadata
5W1H Metadata	Schema
who MAR	Anchor.{Owner,	Author}
when MAR	Anchor.{Authored	time,	Modified	time}
where
MAR	Anchor.{PoI Coordinate,	Contents	Coordinate,	Coordinate	
Type}
what MAR	Anchor.{ID,	Tag,	PoI.ID,	MAR	Contents.ID}
how MAR	Anchor.{Scale,	Interaction,	Animation,	Accessibility}
MAR Anchor: 
Metadata2
Anchor
Real 
Object
Virtual 
Contents
Anchor
5W1H Metadata	Schema
who Recognition	Data.{Owner,	Creator}
when Recognition	Data.{Created	Time,	Modified	Time}
where
PoI.{Location,	Front	Direction},	Recognition	Data.{Personal	
Device	Location,	PoI 3D	Position}
what
PoI.{ID,	Name,	Tag,	Recognition	Data.ID,	MAR	Anchor.ID},	
Recognition	Data.{ID,	Data	Set	ID,	Sub‐Data	Set	ID,	Current	Sub	
Data,	Candidate	Sub	Data}
how
Recognition	Data.{Scale,	Gyroscope,	Compass,	Intrinsic	
Parameter}
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 15
 Eiffel Tower Augmentation
VID: Virtual bird
VID: Virtual Eiffel
Virtual map
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 16
http:.//Geovid.org
 Meta-tagging
WHO WHEN WHERE WHAT HOW
+Virtual
Bird.{Owner,
Creator}
+Virtual
Eiffel_Tower.
{Owner,
Creator}
+Virtual Bird.{Created Time,
Modified Time, Accessed Time,
Duration}
+Virtual Eiffel_Tower.{Created
Time, Modified Time, Accessed
Time, Duration}
+Virtual Eiffel_Tower
Info.{Begin Time, End Time}
+Virtual
Eiffel_Tower
Info.{Location}
+Virtual Bird.{ID, Name,
Type, Tag, Reference,
Eiffel_Tower Anchor.ID}
+Virtual Eiffel_Tower
Info.{Type, Description}
+Virtual Eiffel_Tower
VO.{Type, String, Data
File}
+Virtual
Eiffel_Tower
Info.{Condition
state}
WHO WHEN WHERE WHAT HOW
+Eiffel_Tower
Anchor.{Own
er, Author}
+Eiffel_Tower
Anchor.{Authored
time, Modified
Time}
+Eiffel_Tower
Anchor.{PoI Coord.,
Contents Coord., Coord.
Type}
+Eiffel_Tower
Anchor.{ID, Tag,
PoI.ID, MAR
Contents.ID}
+Eiffel_Tower
Anchor.{Scale,
Interaction, Animation,
Accessibility}
2
1
3
WHO WHEN WHERE WHAT HOW
+Eiffel_Tower
Recognition.{
Owner, Creator}
+Eiffel_Tower
Recognition.{
Created Time,
Modified Time}
+Eiffel_Tower PoI.{Location,
Front Direction}
+Eiffel_Tower
Recognition.{Personal Device
Location, PoI 3D Position}
+Eiffel_Tower PoI.{ID,
Name, Tag, Rec. Data,
MAR Anchor.ID}
+Eiffel_Tower
Recognition.{ID, Data Set
ID, Candidate Sub Data}
+Eiffel_Tower
Recognition.{S
cale, Gyroscope,
Compass,
Intrinsic
Parameter}
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 17
http:.//Geovid.org
 Korean Palace Augmentation
MAR Content
PoI
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 18
http:.//Geovid.org
 Meta-tagging
2
1
3
WHO WHEN WHERE WHAT HOW
+Virtual
Palace.{Own
er, Creator}
+Virtual Palace.{Created Time,
Modified Time, Accessed Time,
Duration}
+Virtual Palace Info.{Begin
Time, End Time}
+Virtual
Palace
Information.{L
ocation}
+Virtual Palace
Information.{Type,
Description}
+Virtual Palace VO.{Type,
String, Data File}
+Virtual
Palace
Info.{Condi
tion state}
WHO WHEN WHERE WHAT HOW
+Palace
Anchor.{Ow
ner, Author}
+Palace
Anchor.{Authored
time, Modified Time}
+Palace Anchor.{PoI
Coord., Contents
Coord., Coord. Type}
+Palace Anchor.{ID,
Tag, PoI.ID, MAR
Contents.ID}
+Palace Anchor.{Scale,
Interaction, Animation,
Accessibility}
WHO WHEN WHERE WHAT HOW
+Palace
Recognition.
{Owner,
Creator}
+Palace
Recognition.{Create
d Time, Modified
Time}
+Palace PoI.{Location,
Front Direction}
+Palace
Recognition.{Personal
Device Location, PoI 3D
Position}
+Palace PoI.{ID, Name,
Tag, Rec. Data, MAR
Anchor.ID}
+Palace Recognition.{ID,
Data Set ID, Candidate Sub
Data}
+Palace
Recognition.{Sc
ale, Gyroscope,
Compass,
Intrinsic
Parameter}
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 19
http:.//Geovid.org
Metadata Structure MAR Contents Sharing
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 20
 Now, do you think …
◦ It is useful?
◦ It is worthy of standard?
◦ Which parts?
 Possible MAR Services in
◦ Tour guide services in Cultural Heritage
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 21
Metadata Type Definition
.ID
String or
Number
Identification of PoI instance
.Name String Name of PoI
.Tag String[] Information marking for the content searching
.Recognition
Data.ID
String or
Number
ID of Recognition Data instance called in PoI Class
.MAR Anchor
.ID
String or
Number[]
ID of MAR Anchor instance called in PoI Class
• Contains metadata fo
r the PoI
• Inherit Class:: Recogni
tion Data
• Legend
• Who
• When
• Where
• What
• How
• Call other class
• ID: CD_Palace_001
• Name: Injung-Jun
• Tag : {Palace, King, … }
MAR Anchor.ID:
{Injung_Txt, Injung_Img}
Recognition Data.ID:
Recog_Injung
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 22
Metadata Type Definition
.Location GPS GPS coordinate of PoI.
.Front Direction
Float (-1 or
[0,360])
Direction of front of the PoI measured by
Compass. If the PoI is view-point
invariant(i.e. symmetric) then the value is -
1(NULL)
• Contains metadata fo
r the PoI
• Inherit Class:: Recogni
tion Data
• Legend
• Who
• When
• Where
• What
• How
• Call other class
• Location : (126.9910827,37.5794506,0)
• Front Direction : 180 (Due South)
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 23
Metadata Type Definition
.Personal Device Locat
ion
GPS GPS coordinate of personal device
.Compass Float
User view direction on Digital Compass in
Personal Device
.Scale
Float (x, y,
z)
Real Scale of the PoI
• Point, Target image a
nd any type of data fo
r PoI recognition
• Legend
• Who
• When
• Where
• What
• How • Scale : (16.43, 10.21, 5.67) (meter)
• Compass : 76.325 (degree, North is 0)
• Personal Device Location :
(126.9910827, 37.5794506, 0.125)
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 24
Metadata Type Definition
.PoI 3D Position
Float (x, y,
z)
3D position of the PoI in vision-based
Local Coordinate captured by personal
device. (Center of Local Coordinate is GPS
location of PoI)
• Point, Target image a
nd any type of data fo
r PoI recognition
• Legend
• Who
• When
• Where
• What
• How
• Location : (126.9910827,37.5794506,0)
• Front Direction : 180 (Due South)
Local
Coordinate
xy
z
• PoI 3D Position:
(47.64, 12.53, 69.64)
• Location of PoI (126.9910827,37.5794506,0) become (0,0,0)
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 25
Metadata Type Definition
.Gyroscope
Float (x, y,
z)
3-Dim value of Camera Pose measured by
Gyroscope
.Intrinsic Parameter
Float (fx,fy
,cx,cy,k1,k
2,k3,r)
Intrinsic parameter of the embedded lens. f
x, fy are focal length of the lens. cx, cy are
principal point of the lens. (c.f. Skewness of
the cell array is 0.) k1,k2,k3,r are distortion
parameters of lens acquired by camera calib
ration. Those parameters can be converted
with respect to camera model. (In this case,
Pin-hole model)
• Point, Target image a
nd any type of data fo
r PoI recognition
• Legend
• Who
• When
• Where
• What
• How
• Intrinsic Parameter :
(3200.35, 1046.24, 1047.453, 876.23,
0.076, -0.101, -0.001, -0.001)
• Gyroscope : (28.462, 129.693, 15.23)
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 26
Metadata Type Definition
.ID
String or
Number
Identification of Recognition Data Instance
.Owner String
Person or group that have rights or custody
on Recognition Data
.Creator String
Person or group that create the Recognition
Data
.Created Time Time The time when recognition data was created
.Modified Time Time
The time when recognition data was
modified
• Point, Target image a
nd any type of data fo
r PoI recognition
• Legend
• Who
• When
• Where
• What
• How
• ID : Recog_Injung
• Owner : Culture Authorities
• Creator : KCTM Team
• Created Time : 2015.04.03, 17:24
• Modified Time : 2015.06.07, 14:13
Recognition
Data
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 27
• Point, Target image a
nd any type of data f
or PoI recognition
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Data Set ID
String or
Number
Identification of Data file set for
recognition of certain PoI
.Sub-Data
Set ID
String or
Number
Identification of partial Data file set for
recognition of certain PoI
.Current
Sub Data
Binary file Currently utilized Sub-data file
.Candidate
Sub Data
Binary file
Possible Sub-data file utilized soon
according to the movement of User
• Data Set ID : Injung
• Sub-Data Set ID : Front 02
• Current Sub Data : Injung_Front_02.bin
• Candidate Sub Data :
Injung_Front_01.bin, Injung_Front_03.bin,
Recognition
Data
Sub-Data ID:Front 01
Injung_Front_01.bin
Sub-Data ID:Front 02
Injung_Front_02.bin
Sub-Data ID:Front 03
Injung_Front_03.bin
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 28
• Metadata for the 
MAR visualization
• Legend
• Who
• When
• Where
• What
• How
• Call other class
Metadata Type Definition
.ID
String or
Number
Identification of MAR Anchor instance
.MAR Contents.ID
String or
Number
ID of MAR Contents instance called in MA
R Anchor Class
.PoI.
ID
String or
Number
ID of PoI instance called in MAR Anchor cl
ass
.Tag String[]
Information marking for the content searchi
ng
.Accessibility
Enum={
Public,
Private,
Custom}
Class that can access to the MAR Contents
Anchor
• PoI.ID: ID: CD_Palace_001
• MAR Contents.ID:
CD_Morning_Assembly
• Accessibility: Public
• ID: InJung_Morning_Assembly
• Tag: Palace, King, Music …
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 29
• Metadata for the 
MAR visualization
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Owner String
Person or group that have rights or custody
on MAR visualization anchor
.Author String
Group of user that create MAR visualization
anchor
.Authored time Time
The time when MAR visualization anchor
was created
.Modified time Time
The time when MAR visualization anchor
was modified
• Owner: Culture Authorities
• Creator : KCTM Team
• Created Time : 2015.04.03, 17:24
• Modified Time : 2015.06.07, 14:13
Anchor
• PoI.ID: ID: CD_Palace_001
• MAR Contents.ID:
CD_Morning_Assembly
• Accessibility: Public
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 30
• Metadata for the 
MAR visualization
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.PoI Coordinate
Float (x, y,
z)
3-dim Position of PoI on Local Coordinate of
MAR scene
.Contents
Coordinate
Float (x, y
(or, z))
position of MAR Contents in MAR scene
.Coordinate
Type
Enum={Fi
xed,
Relative}
Type of Coordinate. If Fixed, fixed 2-dim
position in device display is utilized.
Otherwise, 3-dim relative position
determined by the PoI position in local
coordinate (Center of PoI becomes the center
(0) of local coordinate)
• PoI Coordinate: (25.436, 46.56, 12.4)
• Coordinate Type : Fixed
• Contents Coordinate : (4.25, 2.15)
or
• Coordinate Type : Relative
• Contents Coordinate : (-21.186, 0,-0.4)
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 31
• Metadata for the 
MAR visualization
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Scale
Float (x, y
(or , z))
Size of the MAR contents in MAR scene.
(dimension of the scale depends on the
content)
.Interaction
Enum={
Touch,
Drag}
How MAR Contents interacts with the user
.Animation
{Motion,
Effect,
Transformati
on}
Animation Effects applied into the MAR
contents. Actual developments depends on
the platform. Multiple choice is enabled.
• Scale : (8.5, 92.5, 12.4)
• Interaction : Touch
• Animation : Null
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 32
• Contains the 
metadata for MAR 
Contents, include
• CHE(Cultural 
Heritage Entity) 
Information
• VO(Virtual 
Object)
• Media asset
• MAR contents is subdivided into
cultural heritage entity(CHE)
information, virtual object, and
media asset
◦ CHE information covers the text-based
cultural heritage knowledge such as
museum document
◦ Virtual object handles 2D or 3D virtual
model augmented for PoI
◦ Media asset class contains the
multimedia data related with PoI
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 33
• Contains the 
metadata for MAR 
Contents, include
• CHE(Cultural 
Heritage Entity) 
Information
• VO(Virtual 
Object)
• Media asset
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.ID
String or
Number
Identification of MAR Contents instance
.Name String Name of the MAR contents instance
.Owner String
Person or group that have rights or custody
of MAR Contents
.Creator String
Person or group that perform create MAR
Contents
• MAR Contents.ID:
CD_Morning_Assembly
• Name: Morning Assembly
• Owner : Culture Authorities
• Creator : KCTM Team
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 34
• Contains the 
metadata for MAR 
Contents, include
• CHE(Cultural 
Heritage Entity) 
Information
• VO(Virtual 
Object)
• Media asset
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Created Time Time The time when MAR Contents was created
.Modified Time Time The time when MAR Contents was modified
.Accessed Time Time The last time when MAR Contents was accessed
.Duration Time Estimated time for the MAR Contents
• Created Time :
2015.04.03, 17:24
• Modified Time :
2015.06.07, 14:13
• Accessed Time :
2015.07.03, 10:48
• Duration : 38 (sec)
• MAR Contents.ID:
CD_Morning_Assembly
• Name: Morning Assembly
• Owner : Culture Authorities
• Creator : KCTM Team
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 35
• Contains the 
metadata for MAR 
Contents, include
• CHE(Cultural 
Heritage Entity) 
Information
• VO(Virtual 
Object)
• Media asset
• Legend
• Who
• When
• Where
• What
• How
• Call other class
Metadata Type Definition
.Type
Enum={CHE,
VO, MA}
Type of the MAR contents. Can be chosen
among Cultural heritage Entity(CHE),
Virtual Object(VO), Media Asset(MA)
.Reference String[]
References of MAR Contents. Include the
all references of CHE information, Media
Asset class
.Tag String[]
Information marking for the content
searching
.MAR Anchor.ID
(String or
Number)[]
IDs of MAR Anchor instances called in
MAR Contents class
• Type : MA (Media Asset)
• Reference : CultureContents.com
• Tag : Palace, King, …
• MAR Anchor.ID:
InJung_Morning_Assembly
Anchor
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 36
• Information about 
CHE including PoI t
hat are virtually au
gmented
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Type
{Actor, Place, T
hing, Event, Tim
e}
Type of depicted cultural heritage entity. M
ultiple choice is enabled
.Description String
Piece of writing gives the details about the
cultural heritage entity in MAR Contents
.Location String
Name of place or address that cultural herit
age entity is located in over the certain time
-span
• Type: Event
• Description: Morning assembly
was…
• Location: Seoul-si, Jung-gu, …
Text Information
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 37
• Information about 
CHE including PoI t
hat are virtually au
gmented
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Begin Time Time The time when PoI was brought into existence
.End Time Time
The time when PoI was took out of existence (for ins
tant event, Begin Time==End Time)
.Condition
state
String
the states of PoI characterized over the certain time-s
pan
• Begin Time: 1528-02-15
• End Time: 1528-02-15
• Condition State: Perished
Text Information
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 38
• Metadata for Virtu
al object represent
ed in MAR visualiza
tion excluding med
ia asset
• Cover all virtual obj
ect including UI obj
ect 
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Type
Enum={
Text box, 2D
Model, 3D
Model}
Type of VO represented in MAR Contents
.Text String Text contained in Virtual Object
.Data File Binary Files
Data file for 3D model consists of polygon
model and textures
• Type: 3D Model
• String: Null
• Data File: Queen.bin
Queen.bin
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 39
• Multimedia data re
presented in MAR 
visualization with r
eference such as i
mages, sound, mov
ie, etc.
• Legend
• Who
• When
• Where
• What
• How
Metadata Type Definition
.Type
Enum={
Image, Sound,
Movie}
Type of media asset
.Data File Binary File Data file for media asset
• Type: 3D Movie
• Data File: MorningAssebly.mp4 MorningAssembly.mp4
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 40
 “The future is already here. It is just not
uniformly distributed” by William Gibson (SF
writer)
 More Information
Woontack Woo, Ph.D.
Twitter: @wwoo_ct
Mail: wwoo@kaist.ac.kr
Web: http://uvr.kaist.ac.kr
ISO/IEC JTC1 SC24 Meeting (London, UK), Aug. 24-28, 2015
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 41
 Modified MAR reference model describes the
universal workflow for any MAR service
◦ Enhanced model of the MAR reference model, which is the
proposal of international standard(ISO ISO/IEC CD 18521-
3)
 to provide the generic framework for the MAR system
 to promotes the interoperability of individual MAR applications
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 42
 ISO/IEC CD 18039
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 43
External 
Services
User profile 
(Experience, 
Knowledge, 
Behavior)
Simulator 
(Event, Space)
Renderer
MAR Execution Engine
Conceptualized PoIs
Personal Device Display
User 
Interface
MAR Scene
(Events, Targets, …)
Environment (or 
wearable) Sensors 
for Real World 
Capturer
Internet of Thing 
(IoT)
Sensors
Sensors
GPS
Compass
Gyro sensor
Personal Device 
Embedded
Camera
Media 
Assets
MAR Content
Virtual
Object
CHE 
Information
Physical 
World
Related MAR Contents
Open API
Physical World
User
User
Input
User
Command
Enhanced
Experience
MAR 
Visualization
Recognition Data
MAR Anchor
Selected PoI
Context Analyzer 
PoI Analyzer
User Localization
View Point Setting
PoI Analyzing
Context Processor
Context Integration
Context Inference
Context Management
Recognized
PoIs
User Context
Sensor Data 
PoI Recognition
Data
ISO	SC24	WG9	&	Web3D	Meeting	2016Jan.	11~14,	2016 44
 Input : Physical World
 Output 
◦ Sensor Data (To Context Analyzer)
◦ Physical World (Personal Device Display)
 Sub Module
◦ Environment Sensor: Sensors in real world 
and Internet of Thing(IoT) capture the 
status of the Real world that related with 
user’s task that possesses potential 
applicability
◦ Personal Device Embedded: capture the 
information of user’s status such as 
location, view point, heading direction 
which can be directly exploited in PoI 
recognition
Environment (or 
wearable) Sensors 
for Real world 
capturer
Internet of Thing  
(IoT)
Sensors
Sensors
GPS
Compass
Gyro sensor
Personal Device 
Embedded
Camera
Context analyzer  Personal 
Device
Display
Physical World
Sensor Data
Physical 
World
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 45
 User Profile: set of features of the 
user such as experience, knowledge, 
and behavior
 Input : User
 Output 
◦ User Context : User’s information 
related with MAR service that can be 
extracted from the features of user, 
i.e. user profile. User Context is 
provided to the context analyzer for 
adaptive service.
User profile 
(experience, 
knowledge, 
behavior)
Context Analyzer 
User
User
Context
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 46
 Context analyzer : the core component that 
takes charge of background process for 
MAR service
 Input
◦ For PoI Analyzer
 Sensor Data
 PoI Recognition Data : Instances of the PoI 
Recognition class for recognizing candidate PoIs
◦ For Context Processor
 User Context
 Ongoing
◦ Recognized PoIs : Instances of PoI class that 
are for PoIs recognized in PoI Analyzer
 Output
◦ Contextualized PoIs : Filtered Recognized PoIs 
according to user context in Context Processor
MAR execution engine
Contextualized PoIs
Context Analyzer 
PoI Analyzer
User Localization
View Point Setting
PoI Analyzing
Context Processor
Context Integration
Context Inference
Context Management
Recognized
PoIs
User profile
User
Context
Sensors
Sensor
Data
Recognition
Data
PoI Recognition
Data
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 47
 Input
◦ Contextualized PoIs : PoIs that are candidates to 
visualize in MAR Execution Engine
◦ Related MAR content : Instances of MAR Content 
class containing information of cultural heritage 
entity, media asset and virtual object that is called by 
MAR Anchor instance according to the instances of 
Selected PoI
◦ User Commend: Commend to control MAR service 
that is entered from the user interface on the 
personal device display
 Output
◦ MAR visualization: Result of the rendering and 
simulation process in MAR execution Engine. 
◦ Open API: Enables the service to be utilized in 
external services
External 
Services
Simulator 
(event, space)
Renderer
MAR Execution Engine
Open API
Personal
Device 
Display
Contextualized PoIs
MAR ContentsMAR 
Anchor
Selected 
PoI
Related 
MAR Contents
Context Analyzer 
MAR 
Visualization
User
Command
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 48
 Input
◦ Physical World: Background of the MAR Scene to 
be augmented with MAR visualization
◦ MAR Visualization: Result of visualization process 
of the PoI in MAR execution engine as response 
of user’s input
◦ User input: Input of user to interact with the 
MAR Scene
 Output
◦ Enhanced Experience: Terminal goal of the 
whole MAR reference model that is provided to 
user
◦ User Commend: Instruction converted from user 
input through user interface to control MAR 
visualization
Personal Device Display
User 
Interface
MAR Scene
(events, targets, …)
Enhanced
Experience
Sensors
Physical 
World
MAR Execution 
Engine
User
User
Input
User
User
Commend
MAR 
Execution 
Engine
MAR 
Visualization
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 49
• As implementation of the MAR re
ference model, we are developing 
the MAR service in K‐Culture Tim
e Machine project that provide pe
rsonalized MAR storytelling of the 
historical site in Korea
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 50
MAR execution engine
Contextualized PoIs
Context Analyzer 
PoI Analyzer
User Localization
View Point Setting
PoI Analyzing
Context Processor
Context Integration
Context Inference
Context Management
Recognized
PoIs
User profile
User
Context
Sensors
Sensor
Data
Recognition
Data
PoI Recognition
Data
User
Recognized
PoIs
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 51
MAR execution engine
Contextualized PoIs
Context Analyzer 
PoI Analyzer
User Localization
View Point Setting
PoI Analyzing
Context Processor
Context Integration
Context Inference
Context Management
Recognized
PoIs
User profile
User
Context
Sensors
Sensor
Data
Recognition
Data
PoI Recognition
Data
Time 
Machine
Contextualized
PoIs
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 52
Simulator 
(event, space)
Renderer
MAR Execution Engine
Selected
PoI
Related 
MAR 
Contents
Contextualized PoIs
MAR ContentsMAR 
Anchor
Selected 
PoI
Related 
MAR Contents
Context Analyzer 
External 
Services
Open API
Personal
Device 
Display
MAR 
Visualization
User
Command
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 53
External 
Services
Open API
Selected
Contents
Personal
Device 
Display
MAR 
Visualization
User
Command
MAR
Visualization
Simulator 
(event, space)
Renderer
MAR Execution Engine
Contextualized PoIs
MAR ContentsMAR 
Anchor
Selected 
PoI
Related 
MAR Contents
Context Analyzer 
ISO	SC24	WG9	&	Web3D	Meeting	2016 Jan.	11~14,	2016 54

More Related Content

Similar to Metadata representation for outdoor AR services

Geospatial applications created using java script(and nosql)
Geospatial applications created using java script(and nosql)Geospatial applications created using java script(and nosql)
Geospatial applications created using java script(and nosql)
Comsysto Reply GmbH
 
JSON-LD and NGSI-LD
JSON-LD and NGSI-LDJSON-LD and NGSI-LD
JSON-LD and NGSI-LD
FIWARE
 
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers ProgramSession 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
FIWARE
 
FIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LDFIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LD
FIWARE
 
FIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LDFIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LD
FIWARE
 
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
Nuxeo
 
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
AugmentedWorldExpo
 
Code Camp - Building a Glass app with Wakanda
Code Camp - Building a Glass app with WakandaCode Camp - Building a Glass app with Wakanda
Code Camp - Building a Glass app with Wakanda
troxell
 
Serving Ireland's Geospatial Information as Linked Data
Serving Ireland's Geospatial Information as Linked DataServing Ireland's Geospatial Information as Linked Data
Serving Ireland's Geospatial Information as Linked Data
Christophe Debruyne
 
Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011 Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011
Jane Stevenson
 
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
Stéphanie Challita
 
Collecting and Analysing Spaceborn Data
Collecting and Analysing Spaceborn DataCollecting and Analysing Spaceborn Data
Collecting and Analysing Spaceborn Data
Ivo Andreev
 
Flagis linked open_data_stijn_goedertier
Flagis linked open_data_stijn_goedertierFlagis linked open_data_stijn_goedertier
Flagis linked open_data_stijn_goedertier
Flagis VZW
 
Collecting and Analysing Satellite Data with Azure Orbital
Collecting and Analysing Satellite Data with Azure OrbitalCollecting and Analysing Satellite Data with Azure Orbital
Collecting and Analysing Satellite Data with Azure Orbital
Ivo Andreev
 
Social Media Copyright Management using Semantic Web and Blockchain
Social Media Copyright Management  using Semantic Web and BlockchainSocial Media Copyright Management  using Semantic Web and Blockchain
Social Media Copyright Management using Semantic Web and Blockchain
Roberto García
 
Architecture & Functionality for Learning Spaces Website
Architecture & Functionality for Learning Spaces WebsiteArchitecture & Functionality for Learning Spaces Website
Architecture & Functionality for Learning Spaces WebsitePragati Kunwer
 
Soa4 all technical achievements final
Soa4 all technical achievements finalSoa4 all technical achievements final
Soa4 all technical achievements finalJohn Domingue
 
Building web applications with mongo db presentation
Building web applications with mongo db presentationBuilding web applications with mongo db presentation
Building web applications with mongo db presentationMurat Çakal
 
Real-time Semantic Web with Twitter Annotations
Real-time Semantic Web with Twitter AnnotationsReal-time Semantic Web with Twitter Annotations
Real-time Semantic Web with Twitter Annotations
Joshua Shinavier
 
Standards and projects of SC 24/WG 9 on Metaverse and Interverse
Standards and projects of SC 24/WG 9 on Metaverse and InterverseStandards and projects of SC 24/WG 9 on Metaverse and Interverse
Standards and projects of SC 24/WG 9 on Metaverse and Interverse
Kurata Takeshi
 

Similar to Metadata representation for outdoor AR services (20)

Geospatial applications created using java script(and nosql)
Geospatial applications created using java script(and nosql)Geospatial applications created using java script(and nosql)
Geospatial applications created using java script(and nosql)
 
JSON-LD and NGSI-LD
JSON-LD and NGSI-LDJSON-LD and NGSI-LD
JSON-LD and NGSI-LD
 
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers ProgramSession 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
Session 2 - NGSI-LD primer & Smart Data Models | Train the Trainers Program
 
FIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LDFIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LD
 
FIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LDFIWARE Training: JSON-LD and NGSI-LD
FIWARE Training: JSON-LD and NGSI-LD
 
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
[Nuxeo World 2013] OPENING KEYNOTE - ERIC BARROCA, NUXEO CEO
 
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
AR and Big Data: Interoperable Data Repositories for Collaborative Work Envir...
 
Code Camp - Building a Glass app with Wakanda
Code Camp - Building a Glass app with WakandaCode Camp - Building a Glass app with Wakanda
Code Camp - Building a Glass app with Wakanda
 
Serving Ireland's Geospatial Information as Linked Data
Serving Ireland's Geospatial Information as Linked DataServing Ireland's Geospatial Information as Linked Data
Serving Ireland's Geospatial Information as Linked Data
 
Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011 Linked Data and Locah, UKSG2011
Linked Data and Locah, UKSG2011
 
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
Specifying Semantic Interoperability between Heterogeneous Cloud Resources wi...
 
Collecting and Analysing Spaceborn Data
Collecting and Analysing Spaceborn DataCollecting and Analysing Spaceborn Data
Collecting and Analysing Spaceborn Data
 
Flagis linked open_data_stijn_goedertier
Flagis linked open_data_stijn_goedertierFlagis linked open_data_stijn_goedertier
Flagis linked open_data_stijn_goedertier
 
Collecting and Analysing Satellite Data with Azure Orbital
Collecting and Analysing Satellite Data with Azure OrbitalCollecting and Analysing Satellite Data with Azure Orbital
Collecting and Analysing Satellite Data with Azure Orbital
 
Social Media Copyright Management using Semantic Web and Blockchain
Social Media Copyright Management  using Semantic Web and BlockchainSocial Media Copyright Management  using Semantic Web and Blockchain
Social Media Copyright Management using Semantic Web and Blockchain
 
Architecture & Functionality for Learning Spaces Website
Architecture & Functionality for Learning Spaces WebsiteArchitecture & Functionality for Learning Spaces Website
Architecture & Functionality for Learning Spaces Website
 
Soa4 all technical achievements final
Soa4 all technical achievements finalSoa4 all technical achievements final
Soa4 all technical achievements final
 
Building web applications with mongo db presentation
Building web applications with mongo db presentationBuilding web applications with mongo db presentation
Building web applications with mongo db presentation
 
Real-time Semantic Web with Twitter Annotations
Real-time Semantic Web with Twitter AnnotationsReal-time Semantic Web with Twitter Annotations
Real-time Semantic Web with Twitter Annotations
 
Standards and projects of SC 24/WG 9 on Metaverse and Interverse
Standards and projects of SC 24/WG 9 on Metaverse and InterverseStandards and projects of SC 24/WG 9 on Metaverse and Interverse
Standards and projects of SC 24/WG 9 on Metaverse and Interverse
 

More from Woontack Woo

KAIST_CTAR20230322.pdf
KAIST_CTAR20230322.pdfKAIST_CTAR20230322.pdf
KAIST_CTAR20230322.pdf
Woontack Woo
 
Metaverse_SGAsia2022.pdf
Metaverse_SGAsia2022.pdfMetaverse_SGAsia2022.pdf
Metaverse_SGAsia2022.pdf
Woontack Woo
 
Metaverse2021 woo
Metaverse2021 wooMetaverse2021 woo
Metaverse2021 woo
Woontack Woo
 
Uvr lab intro_gsct2021
Uvr lab intro_gsct2021Uvr lab intro_gsct2021
Uvr lab intro_gsct2021
Woontack Woo
 
Kaist ctar20210701
Kaist ctar20210701Kaist ctar20210701
Kaist ctar20210701
Woontack Woo
 
Kaist gsct20210701
Kaist gsct20210701Kaist gsct20210701
Kaist gsct20210701
Woontack Woo
 
XR@CES2021
XR@CES2021XR@CES2021
XR@CES2021
Woontack Woo
 
Augmented Human: AR 4.0 Beyond Time and Space
Augmented Human: AR 4.0 Beyond Time and SpaceAugmented Human: AR 4.0 Beyond Time and Space
Augmented Human: AR 4.0 Beyond Time and Space
Woontack Woo
 
A museum gsct2020_f
A museum gsct2020_fA museum gsct2020_f
A museum gsct2020_f
Woontack Woo
 
KAIST CT-AR Program 2020
KAIST CT-AR Program 2020KAIST CT-AR Program 2020
KAIST CT-AR Program 2020
Woontack Woo
 
Some Thoughts on Augmented City 2019
Some Thoughts on Augmented City 2019Some Thoughts on Augmented City 2019
Some Thoughts on Augmented City 2019
Woontack Woo
 
From AR to Augmented {City and Citizen}
From AR to Augmented {City and Citizen}From AR to Augmented {City and Citizen}
From AR to Augmented {City and Citizen}
Woontack Woo
 
한국문화기술연구원 설립타당성 및 운영방안
한국문화기술연구원 설립타당성 및 운영방안한국문화기술연구원 설립타당성 및 운영방안
한국문화기술연구원 설립타당성 및 운영방안
Woontack Woo
 
Augmented Human 2018
Augmented Human 2018Augmented Human 2018
Augmented Human 2018
Woontack Woo
 
Augmented Human 2018
Augmented Human 2018Augmented Human 2018
Augmented Human 2018
Woontack Woo
 
Kaist arrc 20160901
Kaist arrc 20160901Kaist arrc 20160901
Kaist arrc 20160901
Woontack Woo
 
VR AR 미래전략 2016
VR AR 미래전략 2016VR AR 미래전략 2016
VR AR 미래전략 2016
Woontack Woo
 
CT Strategy and Planning 2015
CT Strategy and Planning 2015CT Strategy and Planning 2015
CT Strategy and Planning 2015
Woontack Woo
 
Introduction to UVR Lab 2.0
Introduction to UVR Lab 2.0Introduction to UVR Lab 2.0
Introduction to UVR Lab 2.0
Woontack Woo
 
Future of Augmented Reality: Augmented Human in Ubiquitous VR era
Future of Augmented Reality: Augmented Human in Ubiquitous VR eraFuture of Augmented Reality: Augmented Human in Ubiquitous VR era
Future of Augmented Reality: Augmented Human in Ubiquitous VR era
Woontack Woo
 

More from Woontack Woo (20)

KAIST_CTAR20230322.pdf
KAIST_CTAR20230322.pdfKAIST_CTAR20230322.pdf
KAIST_CTAR20230322.pdf
 
Metaverse_SGAsia2022.pdf
Metaverse_SGAsia2022.pdfMetaverse_SGAsia2022.pdf
Metaverse_SGAsia2022.pdf
 
Metaverse2021 woo
Metaverse2021 wooMetaverse2021 woo
Metaverse2021 woo
 
Uvr lab intro_gsct2021
Uvr lab intro_gsct2021Uvr lab intro_gsct2021
Uvr lab intro_gsct2021
 
Kaist ctar20210701
Kaist ctar20210701Kaist ctar20210701
Kaist ctar20210701
 
Kaist gsct20210701
Kaist gsct20210701Kaist gsct20210701
Kaist gsct20210701
 
XR@CES2021
XR@CES2021XR@CES2021
XR@CES2021
 
Augmented Human: AR 4.0 Beyond Time and Space
Augmented Human: AR 4.0 Beyond Time and SpaceAugmented Human: AR 4.0 Beyond Time and Space
Augmented Human: AR 4.0 Beyond Time and Space
 
A museum gsct2020_f
A museum gsct2020_fA museum gsct2020_f
A museum gsct2020_f
 
KAIST CT-AR Program 2020
KAIST CT-AR Program 2020KAIST CT-AR Program 2020
KAIST CT-AR Program 2020
 
Some Thoughts on Augmented City 2019
Some Thoughts on Augmented City 2019Some Thoughts on Augmented City 2019
Some Thoughts on Augmented City 2019
 
From AR to Augmented {City and Citizen}
From AR to Augmented {City and Citizen}From AR to Augmented {City and Citizen}
From AR to Augmented {City and Citizen}
 
한국문화기술연구원 설립타당성 및 운영방안
한국문화기술연구원 설립타당성 및 운영방안한국문화기술연구원 설립타당성 및 운영방안
한국문화기술연구원 설립타당성 및 운영방안
 
Augmented Human 2018
Augmented Human 2018Augmented Human 2018
Augmented Human 2018
 
Augmented Human 2018
Augmented Human 2018Augmented Human 2018
Augmented Human 2018
 
Kaist arrc 20160901
Kaist arrc 20160901Kaist arrc 20160901
Kaist arrc 20160901
 
VR AR 미래전략 2016
VR AR 미래전략 2016VR AR 미래전략 2016
VR AR 미래전략 2016
 
CT Strategy and Planning 2015
CT Strategy and Planning 2015CT Strategy and Planning 2015
CT Strategy and Planning 2015
 
Introduction to UVR Lab 2.0
Introduction to UVR Lab 2.0Introduction to UVR Lab 2.0
Introduction to UVR Lab 2.0
 
Future of Augmented Reality: Augmented Human in Ubiquitous VR era
Future of Augmented Reality: Augmented Human in Ubiquitous VR eraFuture of Augmented Reality: Augmented Human in Ubiquitous VR era
Future of Augmented Reality: Augmented Human in Ubiquitous VR era
 

Recently uploaded

Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTSHeap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Soumen Santra
 
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdfTutorial for 16S rRNA Gene Analysis with QIIME2.pdf
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf
aqil azizi
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
TeeVichai
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
Fundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptxFundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptx
manasideore6
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
Basic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparelBasic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparel
top1002
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
WENKENLI1
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Dr.Costas Sachpazis
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
VENKATESHvenky89705
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
AmarGB2
 
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdfThe Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
Nettur Technical Training Foundation
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
gestioneergodomus
 
Water billing management system project report.pdf
Water billing management system project report.pdfWater billing management system project report.pdf
Water billing management system project report.pdf
Kamal Acharya
 

Recently uploaded (20)

Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTSHeap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
Heap Sort (SS).ppt FOR ENGINEERING GRADUATES, BCA, MCA, MTECH, BSC STUDENTS
 
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdfTutorial for 16S rRNA Gene Analysis with QIIME2.pdf
Tutorial for 16S rRNA Gene Analysis with QIIME2.pdf
 
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
Railway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdfRailway Signalling Principles Edition 3.pdf
Railway Signalling Principles Edition 3.pdf
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
Fundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptxFundamentals of Induction Motor Drives.pptx
Fundamentals of Induction Motor Drives.pptx
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
Basic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparelBasic Industrial Engineering terms for apparel
Basic Industrial Engineering terms for apparel
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
road safety engineering r s e unit 3.pdf
road safety engineering  r s e unit 3.pdfroad safety engineering  r s e unit 3.pdf
road safety engineering r s e unit 3.pdf
 
Investor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptxInvestor-Presentation-Q1FY2024 investor presentation document.pptx
Investor-Presentation-Q1FY2024 investor presentation document.pptx
 
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdfThe Role of Electrical and Electronics Engineers in IOT Technology.pdf
The Role of Electrical and Electronics Engineers in IOT Technology.pdf
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
 
Water billing management system project report.pdf
Water billing management system project report.pdfWater billing management system project report.pdf
Water billing management system project report.pdf
 

Metadata representation for outdoor AR services