We are TEAM 01

• YI-HAN CHIANG– Junior student

• PEI-YUN HSU – Senior student

• HUI-YU LEE– First-year graduated student

• Collage– Collage photos into a frame

• Smart– Automatically– importance– semantic meanings

Introduction

Motivation - 1

• Recent mobile apps–

Motivation - 1

• We want to – collage photos automatically !– Put into appropriate frames !

Motivation - 2

• Too many photos to pick

Motivation - 2

• We want to – Pick representative photos !– Collage them !

can…

• Select photos• Fit the best template • Pick semantic combinations• Output result

can…

• Select photos• Fit the best template • Pick semantic combinations• Output result

Select photos

Remove similar photos• Color histogram feature (YIQ)• Randomly pick one

Select photos

Choose importance photos

• score = 0.6*Num of People+0.2*mean_Value+0.2*mean_Saturation

• Sort & Random

can…

• Select photos• Fit the best template • Pick semantic combinations• Output result

Fit the best template

Enumerate templates• for each case (4 – 7 )

Fit the best template

Fit the best template

Sum = |2 – 0.7| + | 1 – 0.4| +| 1 – 0.3| + |3 – 0.2|

+|2 – 0.1|

Find the template who has min Sum.

32

21

1

0.7 0.4 0.3 0.2 0.1

can…

• Select photos• Fit the best template • Pick semantic combinations• Output result

Pick semantic combinations

Enumerate combinations• for example

Pick semantic combinations

Good looking?• Consider completeness– Sky on the top (grayscale)– Symmetric (balance human #)

can…

• Select photos• Fit the best template • Pick semantic combinations• Output result

Output result

Live demo time

Output result

example 1 - NTU

Output result

example 2 – birthday time

Output result

example 3 – basketball time

Q&A

The end