A Web Service to personalise Map Colouring

36
17.11.09 A Web Service to personalise Map Colouring Joerg Steinruecken A Web Service to personalise Map Colouring Joerg Steinruecken Department of Geoinformation Institute of Geodesy and Geoinformation University of Bonn

description

A Web Service to personalise Map Colouring. Joerg Steinruecken Department of Geoinformation Institute of Geodesy and Geoinformation University of Bonn. Motivation. World Wide Web offers geospatial data from many different sources „Mapping on Demand“: Creating maps in real time - PowerPoint PPT Presentation

Transcript of A Web Service to personalise Map Colouring

17.11.09 A Web Service to personalise Map ColouringJoerg Steinruecken

A Web Service to personalise Map Colouring

Joerg SteinrueckenDepartment of Geoinformation

Institute of Geodesy and GeoinformationUniversity of Bonn

17.11.09A Web Service to personalise Map Colouring

2

Joerg Steinruecken

Motivation

• World Wide Web offers geospatial data from many different sources

• „Mapping on Demand“: Creating maps– in real time– by combining data from different sources– for individual purposes– independent of time and place

• Problems:– Portrayal of data from different sources conflict

17.11.09A Web Service to personalise Map Colouring

3

Joerg Steinruecken

Personalisierung BefragungTour 1

Tour 2

Tour 4

Tour 5

Tour 6

Tour 7

Tour 3

Legend

17.11.09A Web Service to personalise Map Colouring

4

Joerg Steinruecken

Motivation

• World Wide Web offers geospatial data from many different sources

• „Mapping on Demand“: Creating maps– in real time– by combining data from different sources– for individual purposes– independent of time and place

• Problems:– Portrayal of data from different sources conflict– Perceptibility is influenced by

• Users‘ visual system (colour vision impairment)• Outer effects

– Device specific colour reproduction– Environment (e.g. dark room or sunlight)

17.11.09A Web Service to personalise Map Colouring

5

Joerg Steinruecken

Stating the problem

• Given– Background: Topographical Map which has a fixed

graphical representation

– Overlay: Objects O1 … On which can be portrayed by users

• Searching portrayal options of objects O1 … On

• Postulations– Conciseness: Visual distinguishability

• of objects O1 … On among each other

• of objects O1 … On from the topographic map

• for all users and on all devices

– Solution „on demand“– Access without technical barriers

17.11.09A Web Service to personalise Map Colouring

6

Joerg Steinruecken

Outer Frame

• Service-oriented architecture• Geospatial data provided by standardised services

– Open Geospatial Consortium (OGC) Web Map Service (WMS) Specification

– OGC Symbology Encoding (SE) / Styled Layer Descriptor (SLD) Specification

17.11.09A Web Service to personalise Map Colouring

7

Joerg Steinruecken

Statement

• Portrayal– Options: Visual variables– Most important variable: Colour– Problem of distinguishability is reduced to the

identification of well distinguishable colours– Colours are adjusted to a specific user and his

device

• Colours provided by a Web Service

17.11.09A Web Service to personalise Map Colouring

8

Joerg Steinruecken

Stating the problem with colours

• Given– Background: Topographical Map which contains

m colours

– Overlay: Objects O1 … On which can be portrayed by users

• Searching n colours for objects O1 … On

• Postulations– Conciseness: Visual distinguishability

• of colours of objects O1 … On among each other

• of colours of objects O1 … On from the colours of the topographic map

• for all users and on all devices

– Solution „on demand“– Access without technical barriers

17.11.09A Web Service to personalise Map Colouring

9

Joerg Steinruecken

Domain

Architecture

ServerClient

Browser Webserver

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

17.11.09A Web Service to personalise Map Colouring

10

Joerg Steinruecken

Domain

Architecture - Personalisation

ServerClient

Browser Webserver

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

17.11.09A Web Service to personalise Map Colouring

11

Joerg Steinruecken

Personalisation

• Creation of user profiles (user name, password,…)• Getting personal data

– Colour vision impairment• specified by users• Users have to evaluate test images

– Display‘s colour reproduction and ambient light• Display calibrated?• Visual calibration by gamma adjustment• Users have to evaluate test images

17.11.09A Web Service to personalise Map Colouring

12

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

17.11.09A Web Service to personalise Map Colouring

13

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

17.11.09A Web Service to personalise Map Colouring

14

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

ProxyWMS-URL

WMS-URL

17.11.09A Web Service to personalise Map Colouring

15

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

GetCapabilties

17.11.09A Web Service to personalise Map Colouring

16

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

SE

17.11.09A Web Service to personalise Map Colouring

17

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

SE-URL

SE-URL

SE

17.11.09A Web Service to personalise Map Colouring

18

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

GetMap

SE

17.11.09A Web Service to personalise Map Colouring

19

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

GetMap

SLD=SE-URL

SE

17.11.09A Web Service to personalise Map Colouring

20

Joerg Steinruecken

Domain

Architecture – Map request

ServerClient

Browser Webserver

Web Map Client

Web Map Client

Server

(SLD-)WMS

Geodata

Server

User DataPersonali-

sation

Webserver

(Service)

Colouring

Proxy

17.11.09A Web Service to personalise Map Colouring

21

Joerg Steinruecken

Approach of colouring

Visual Distinguishability

Colour space, providing an appropriate metric(visual equidistance)

Formulation of an optimisation problem:Maximise the minimal distance between colours

Solution on demand

Modelling the colour space: 3D-Polyhedron

17.11.09A Web Service to personalise Map Colouring

22

Joerg Steinruecken

Process of colouring

sRGB

Standard-RGB

17.11.09A Web Service to personalise Map Colouring

23

Joerg Steinruecken

Process of colouring

sRGB XYZ

CIE-XYZ colour space

17.11.09A Web Service to personalise Map Colouring

24

Joerg Steinruecken

Process of colouring

sRGB XYZ CIELUV

CIE L* u* v* colour space

17.11.09A Web Service to personalise Map Colouring

25

Joerg Steinruecken

Process of colouring

sRGB XYZ CIELUV MAXMIN

17.11.09A Web Service to personalise Map Colouring

26

Joerg Steinruecken

Process of colouring

sRGB XYZ CIELUV MAXMIN

17.11.09A Web Service to personalise Map Colouring

27

Joerg Steinruecken

Optimisation problem

d

nlk ,...,1;9,...,1 0 llTk bXn

ijnmjni ;,...,1,,...,1

2, ji YX

),( XFY

F Set of m given colours

X Set of n colours which have to be determined

lTk bn , Parameters of hyperplanes which form

the polyhedron

maximise

subject to dYX ji 2

,

Euclidean Distance

objective

constraints

17.11.09A Web Service to personalise Map Colouring

28

Joerg Steinruecken

Problem characteristics

• Nonlinear problem– Large number of local optimal solutions– Efficient algorithms find a locally optimal solution,

but usually not the globally optimal solution

Global Optimum

Local Optima

Rastrigins function (source: Matlab)

17.11.09A Web Service to personalise Map Colouring

29

Joerg Steinruecken

Behaviour of efficient algorithms

)(xf

x

Local OptimumGlobal Optimum

Fundamental importance of starting points‘ location

17.11.09A Web Service to personalise Map Colouring

30

Joerg Steinruecken

Algorithm

Finding appropriate starting points

Method of local optimisation

Detect suboptimal solutions

Nearly global optimal solution

S1

S2

S3

17.11.09A Web Service to personalise Map Colouring

31

Joerg Steinruecken

• Observation: To use the colour space in the best possible way, the majority of points have to lie on the polyhedron‘s boundary.

• Conclusion: Points which are placed on the boundary are well suited as starting points

S1: Appropriate starting points

17.11.09A Web Service to personalise Map Colouring

32

Joerg Steinruecken

S3: Detect suboptimal solutions

Given points

Voronoi vertices

intersection ofVoronoi edgesand polygon

Vertices ofthe polygon

• Find an improvement• Candidats are given by the Voronoi-Diagram• Example in 2D:

17.11.09A Web Service to personalise Map Colouring

33

Joerg Steinruecken

Personal information

• Incorporation of users‘ personal information as constraints – Color vision impairment: Finding colours in a

plane– Colour reproduction & ambient light: Clipping

the colour space

17.11.09A Web Service to personalise Map Colouring

34

Joerg Steinruecken

Personalisierung BefragungTour 1

Tour 2

Tour 4

Tour 5

Tour 6

Tour 7

Tour 3

Legend

17.11.09A Web Service to personalise Map Colouring

35

Joerg Steinruecken

Conclusions

• Concise maps by selection of well distinguishable colours

• Formulation of an optimisation problem– distinguishability = Euclidean distance

• Efficient identification of a nearly optimal solution

• Algorithm: Find appropriate starting points, local optimisation method, geometric evaluation

• Adaptation to users‘ individual requirements• Usable as Web Service• Prototype will shortly be available on

http://colour.ikg.uni-bonn.de

17.11.09 A Web Service to personalise Map ColouringJoerg Steinruecken

Thank you for your attention