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29 Νοε 2013 (πριν από 3 χρόνια και 10 μήνες)

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1

2

CIMET key facts


MSc programme:
C
olor in
I
nformatics and
Me
dia
T
echnology


Erasmus Mundus Master Program supported by the EU


In Erasmus Mundus Master program: bringing together the
best European forces to attract the best brains to Europe


University of Saint
-
Etienne (France, coordinator),


University of Granada (Spain),


University of Joensuu (Finland),


Gjøvik University College (Norway)


http://www.master
-
erasmusmundus
-
color.eu/


3

CIMET key facts


MSc programme:
C
olor in
I
nformatics and
Me
dia
T
echnology


Prestigeous for institutions


Only few selected programs in 2007


Prestigeous for students


Generous grants from EU


To cover tuition fees (EUR 10.060 per year)


Highly competitive selection


Only 30 students selected per year / 400 applicants


http://www.master
-
erasmusmundus
-
color.eu/


4

CIMET Key dates


January 31, 2008


Application deadline for non
-
European students


Application deadline for visiting scholars


May 14, 2008


Application deadline for European students


September 2008


Program starts

5

Semester

Title of Module

Title of Course

Number of ECTS

Semester 1

Fundamentals

(all universities)



TOTAL

30 ECTS

Photonics and Optics Fundamentals

5

Color Science

5

Image analysis & processing

5

Data analysis & statistics

5

Algorithm design and analysis

5

Optional course or (national) language course

5

Semester 2

Specialization 1


Color image capture, devices


and

Processing


(Granada)



TOTAL

30 ECTS

(5 courses to choose among 9)

Radiometry, Sources and Detectors

5

Devices and instrumentation

5

Optical imaging and processing

5

Advanced colorimetry

5

Human Vision and Computer Vision

5

Color in industry

5

Remote sensing and image processing

5

Fundamentals of spectral science

5

Optional course or (national) language course

5





Specialization 1


Color image capture, devices


and


processing


(Saint Etienne)



TOTAL

30 ECTS

(5 courses to choose among 9)

Radiometry, Sources and Detectors

5

Devices and instrumentation

5

Optical imaging and processing

5

Advanced colorimetry

5

Human Vision and Computer Vision

5

Color in art and design

5

Ligthing and image capture

5

Compression and transmission in media systems

5

Optional course or (national) language course

5





CIMET

course
catalogue

6

Semester

Title of Module

Title of Course

Number of ECTS

Semester 3

Specialization 2


Spectral color science


(Joensuu)


TOTAL

30 ECTS


Spectral Color Science

5

Spectral imaging devices

5

Computationnal Color

5

Scientific Methodology

5

Project contest (common to all specializations)

5

Optional course or (national) language course

5



Specialization 3


Technologies and models for


multi
-
media systems.


(
Gjøvik
)


TOTAL

30 ECTS


Content based indexing and retrieval

5

Cross media production systems

5

Video processing

5

Scientific Methodology

5

Project contest (common to all specializations)

5

Optional course or (national) language course

5



Semester 4

Theorical project


TOTAL

30 ECTS

Master thesis

30

CIMET

course
catalogue

7

CIMET learning outcomes

(Scientific, Technical and Managerial skills)

The courses aims to develop:

1

-

a

systematic

understanding

of

knowledge

in

color

science,

computer

vision,

image

science

and

media

technology,

informed

by

a

critical

awareness

of

current

problems

and

recent

research
;

2

-

a

framework

within

which

participants

can

continue

to

develop

the

knowledge

and

intellectual

skills

that

will

enable

them

to

deal

with

the

optical,

imaging

and

media

technologies

of

the

future
;

3

-

a

conceptual

understanding

that

enables

the

participant

to

critically

evaluate

past

and

present

research

in

color

science,

computer

vision,

image

science

and

media

technology
;

4


-
a

comprehensive

understanding

of

techniques

applicable

to

research

in

color

science,

computer

vision,

image

science

and

media

technology,

and

a

practical

understanding

of

how

such

techniques

are

applied

to

interpret

and

advance

existing

knowledge
;

5

-

a

community

of

enquiry

and

research

in

color

science,

computer

vision,

image

science

and

media

technology,

with

links

to

other

such

communities

nationally

and

internationally
;

6

-

a

scientific

common

base

to

all

the

students

whatever

their

starting

origin
;

8

CIMET learning outcomes

(Scientific, Technical and Managerial skills)


We

assume

that

the

students

know

QuickSort

algorithm,

are

familiar

for

example

with

graph

structures,

are

capable

for

constructing

algorithm

using

pseudo

code,

and

have

sufficient

analysis

tools
.

We

assume

that

the

students

know

a

programming

language,

and

have

the

capability

for

abstract

and

algorithmic
.



We

have

defined

minimal

skills

in

order

to

let

the

students

who

would

not

have

these

be

able

to

do

some

homework

before

coming
.

Thus,

before

starting

the

course

a

student

should

be

able

to

:


1)
work with at least one programming language and use a correct environment
(editor, debugger, make, …) ...

2)
to write, in any
-
reasonable
-

programming language, without help :


a program searching for an item in an array


a program counting the length of a list


a program computing the sum of the n first squares


a program checking if a number is prime or not


a program adding and multiplying two matrices


a program to solve second order equation



.../...

3) be able to compute the concrete complex in shape as efficiently as possible.

9

The

courses

objectives

are

that

students

will

be

able

to
:


1

-

demonstrate

an

advanced

knowledge

and

understanding

of

specialisations

at

the

forefront

of

discipline

in

technical

informatics

(such

as

pattern

recognition,

machine

learning)
;

-

develop

methods

to

test

and

to

improve

processes
;

-

to

develop

softwares

for

image

or

vision

processing
;

2

-

demonstrate

an

advanced

knowledge

of

imaging

processes,

including

capture

and

digitisation,

processing,

and

output

on

a

range

of

media

and

devices,

and

originality

in

its

application
;

-

overcome

the

global

nature

of

an

imaging

chain

from

the

image

building

to

its

exploitation

on

both

the

physical

and

computational

point

of

view
;

3

-

demonstrate

an

understanding

of

color

science,

computer

vision,

image

science

and

media

technolgy,

and

apply

this

in

practical

applications

in

the

context

of

image

reproduction
;

4

-

demonstrate

a

quantitative

understanding

of

color

and

color

measurement,

and

an

ability

to

render

a

color

appearance

across

different

media
;

5

-

conceive

industrial

systems

and

devices

using

optical,

optoelectronic

and

computational

techniques
;

6

-

critically

evaluate

their

own

work,

identify

weaknesses

and

propose

alternative

solutions
;

7

-

plan

and

conduct

a

self
-
managed

programme

of

research

and

enquiry
;

-

analyse

a

problem

both

in

its

technical

and

economical

prospects
;

8

-

lead

and

coordinate

a

research

project
;

-

communicate

the

results

of

their

work

clearly

to

specialist

and

non
-
specialist

audiences
;

-
communicate

in

a

scientific

or

business

context

in

several

languages
.

CIMET learning outcomes

(Scientific, Technical and Managerial skills)

10

Key challenges for CIMET


Courses

are

taught

in

English

and

are

structured

according

to

the

ECTS

with

120

credits

run

over

four

semesters

of

full
-
time

study
.



Students

are

awarded

a

double

(or

multiple)

degree,

at

postgraduate
-
level

(Msc

of

Science,

300

ECTS),

from

the

two

(or

three)

degree
-
granting

Universities

visited
.



Admission

is

based

on

academic

excellence
.



Applicants

should

have

a

BSc

degree

(i
.
e
.

180

ECTS)

in

the

European

BMD

(Bachelor
-
Master
-
Doctorate)

system,

or

equivalent,

in

computer

science,

physics

or

mathematics
.

11


The

study

programme

of

this

Master

course

is

broadly

interdisciplinary
,

encompassing

photonics,

computer

vision

and

imaging

science,

computer

science

and

multimedia

technology

as

a

mix

of

relevant

theoretical

and

practical

knowledge
.



The

objective

is

to

educate

students

in

advanced

methodologies

and

models

in

computational

color

science

with

two

goals
:


orientation

and

further

studies

at

the

doctoral

level

on

one

hand,

and



practical

applications

on

the

other

hand
.



CIMET

offers

three

specializations
:

Color

Imaging

Science,

Spectral

Color

Science

and

Multimedia

Technology

Science
.



These

areas

are

being

emergent,

rapidly

evolving,

and

of

growing

impact

on

the

Information

Society

Technologies

which

require

specialized

competencies
.


Key challenges for CIMET

12

The study programme is made up from:


The

first

semester

is

devoted

to

foundation

courses

necessary

to

students

before

beginning

the

two

specializations

they

will

follow
.



Foundation

courses

are

proposed

in

any

university

of

the

consortium
.



The

first

specialisation,

in

the

second

semester,

is

devoted

to

compulsory

courses

in

color

imaging

science

necessary

to

students

before

beginning

the

second

specialization
.



It

is

done

either

in

Granada

or

Saint

Etienne
.



The

second

specialisation,

in

the

third

semester,

is

done

either

in

Joensuu

or

Gjøvik
.



Therefore,

during

the

first

three

semesters,

students

spend

their

Master

Courses

in

either

two

universities

or

three

universities
.



This

arrangement

leaves

open

the

possibility

to

visit

during

the

Master

thesis

period

another

university

of

the

consortium

which

will

not

deliver

a

degree
.

13

The study programme is made up from:


1 compulsory taught module: 5 compulsory courses + optional
course(s) (5 ECTS by course).


The

study

programme

of

compulsory

courses

(e
.
g
.

Image

analysis

&

processing,

Data

analysis

&

statistics,

and

Design

and

analysis

of

algorithms)

has

been

organized

to

be

identical

in

each

university,

whatever

their

speciality
.



The

study

programme

does

not

include

a

machine

learning

course,

nevertheless

this

will

be

a

common

topic

for

laboratory

sessions

for

three

fundamental

courses
:

Image

analysis

&

processing,

Data

analysis

&

statistics,

and

Design

and

analysis

of

algorithms
.

14

The study programme is made up from:


A

first

specialization

in

Color

image

capture,

devices

and

processing

taught

modules
:

5

compulsory

courses

+

optional

course(s)

(
5

ECTS

by

course)
.



Students

will

have

to

choose

5

courses

among

the

8
.

The

study

programme

of

optional

courses

is

identical

in

Granada

and

Saint

Etienne

for

5

courses

among

the

8
.


Saint

Etienne

will

propose

a

pattern

recognition

course

which

will

be

focused

on

approaches

based

on

learning

machine

techniques
.

15

The study programme is made up from:


A

second

specialization

taught

modules
:

4

compulsory

courses

+

optional

course(s)

(
5

ECTS

by

course)
.



Students

have

to

choose

1

specialization
;

either

those

proposed

by

Joensuu

(
Spectral

color

science
)

or

those

proposed

by

Gjøvik

(
Technologies

and

models

for

multi
-
media

systems
)



The

study

programme

of

compulsory

courses

varies

in

function

of

the

specialization
.

.

16

The study programme is made up from


1 Project Contest (5 ECTS).


During

the

project

contest

students

have

the

chance

to

investigate

theories

and

phenomena

at

the

forefront

of

an

applicative

problem

(e
.
g
.

a

pattern

recognition

problem

based

on

machine

learning

algorithms)
.



The

subject

of

project

contest

is

defined

each

year

by

the

staff
.

It

is

divided

in

four

steps

(e
.
g

snapshot

of

color

images,

research

of

color

invariants,

features

extraction,

data

analysis

and

processing)

which

cover

fundamental

courses

teach

during

the

first

semester

and

compulsory

courses

teach

during

the

second

semester
.


17

The study programme is made up from


1 Project Contest (5 ECTS).


Students

will

be

divided

in

teams

(at

most

three

students

by

team)
.

Teams

will

be

set

in

competition
.

They

will

be

confronted

to

the

same

project
.



Each

team

will

have

also

to

carry

out

a

fifth

step
.

The

content

of

this

latest

step

depend

of

the

two

specializations

they

have

chosen
.

The

project

contest

is

done

in

the

university

where

they

will

follow

their

second

specialization
.


18

CIMET Mobility Track



Semester 1



Semester 2


Semester 3
Semester 4



Fundamental


Specialization 1



Specialization 2



Master thesis


courses

























Granada







Granada



Saint Etienne


Granada


Joensuu


Saint Etienne


Joensuu



Saint Etienne


Gjøvik



Joensuu


G
jøvik






Gjøvik








Example of one mobility


Example of three mobility


19

The study programme is made up from


1

Master

dissertation

(
30

ECTS)
.



During

the

training

period

(Master

Thesis),

students

have

the

chance

to

investigate

theories

and

phenomena

in

a

laboratory

at

the

forefront

of

current

knowledge

and

expertise
.



For

each

specialization

domain,

a

list

of

topics

of

Master

thesis

is

proposed

by

the

two

or

three

universities

where

students

will

study
.