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Crowdsourced object
segmentation with a game

Vincent Charvillat
Axel Carlier

Amaia Salvador Aguilera
Xavier Giró i Nieto

Oge Marques
Outline
• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Ongoing work

2
Motivation

?

3
Motivation

?

4
Semi-Supervised object segmentation

Rough segmentation

• B. C. Russell, A. Torralba, K. P. Murphy, and W. T. Freeman. Labelme:
A database and web-based tool for image annotation. IJCV, 2008
5
Semi-Supervised object segmentation

•

•

P. Arbelaez and L. Cohen. Constrained image segmentation from hierarchical boundaries. In
CVPR'08, 2008.
2) K. McGuinness and N. E. O'Connor. A comparative evaluation of interactive segmentation
algorithms.

6
Semi-Supervised object segmentation

Boring task for users!

7
8
Games with a purpose

• J. Steggink and C. Snoek. Adding semantics to image-region annotations with the name-itgame. Multimedia Systems, 2011.
• L. von Ahn, R. Liu, and M. Blum. Peekaboom: a game for locating objects in images. In CHI'06,
2006.
9
Ask’nSeek

A. Carlier, O. Marques, and V. Charvillat. Ask'nseek: A new game for object detection and labeling. In
ECCV'12 Workshops 2012.
10
Motivation
?

11
Outline
• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Next steps

12
Constrained parametric min-cuts for
automatic object segmentation (CPMC)

J. Carreira and C. Sminchisescu. Constrained parametric min-cuts for automatic object
segmentation. In CVPR'10, 2010.

13
Constrained parametric min-cuts for
automatic object segmentation

14
Motivation
CPMC

15
Outline
• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Ongoing Work

16
Experiments
How many clicks do we need to achieve a certain quality in the
segmentation?

Test the algorithm for a large image dataset

17
Pascal VOC2010

1928 images divided in:
Train (964)
Validation (964)

18
Problem

Simulator

19
Simulator
• The simulator generates points using the ground truth of the image.

20
Simulator: Location of clicks

S. Goferman, L. Zelnik-Manor, and
A. Tal. Context-aware saliency
detection. PAMI, 2012.

21
Simulator: Foreground/Background ratio

22
Outline
• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Ongoing Work

23
Jaccard index

Measure of similarity between the segmentation result and the ground truth mask
24
Results

Using Pascal
VOC2010
(Validation)

25
Results

Using Pascal
VOC2010
(Validation)

26
Outline
• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Ongoing Work

27
Conclusions
• Realistic simulator to process large amounts of data.
• Estimation of the expected AVERAGE Jaccard index by clicks.
• Inter-class variance of results.

28
Ongoing Work

29
Ongoing Work
• Image segmentation
• CPMC candidates

●

●

30

Label propagation through
hierarchical partitions (eg. UCM,
BPT…)
Grabcut + Superpixels
Ongoing Work
• Data collection
• Awarded with $250 in CrowdMM Competition (ACM MM Barcelona 2013).

• Already more than 1500 games collected with 100 users

More on that in our poster!
31
Questions, suggestions…
Thank you for your attention

• Motivation
• Object Segmentation
• Experiments
• Results
• Conclusions
• Ongoing Work
32

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