What makes an image memorable? P. Isola, J. Xiao, A. Torralba, A. - - PowerPoint PPT Presentation

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What makes an image memorable? P. Isola, J. Xiao, A. Torralba, A. - - PowerPoint PPT Presentation

What makes an image memorable? P. Isola, J. Xiao, A. Torralba, A. Oliva. CVPR 2011 Islam Beltagy Experiment https://picasaweb.google. com/101392440470561716618/CS395TVi sualRecognition LabelMe Images database and annotation tool


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SLIDE 1

What makes an image memorable?

  • P. Isola, J. Xiao, A. Torralba, A. Oliva. CVPR 2011
Islam Beltagy
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SLIDE 2

Experiment

  • https://picasaweb.google.

com/101392440470561716618/CS395TVi sualRecognition

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SLIDE 3

LabelMe

  • Images database and annotation tool
  • A helpful matlab toolbox
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SLIDE 4

Agenda

  • Memorability vs Object class
  • Memorabiliy vs Saliency
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SLIDE 5

Memorability and object classes

  • Task:

– Find relation between each individual object class and memorability

  • Features:

– Object Presence – Object Counts – Object Area

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SLIDE 6

Memorability and object classes

  • Use Spearmen correlation to find

correlation between class features statistics (presence, count, area) and memorability (from ground truth).

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SLIDE 7
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SLIDE 8 Object type (all sorted by correlation with Presence)
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SLIDE 9
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Memorability and object classes

  • Most and Least memorable object classes

are 50/1360 class. (|Correlation| >=0.2)

  • Most of the object classes are not

correlated with memorability, why ?

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SLIDE 11 Windows (freq: 588) door (freq: 360) Ice field (freq: 4) |Correlation|>=0.2
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SLIDE 12

Memorability and object classes

  • Most of the object classes are not

correlated with memorability, why ? Because:

– Not frequent enough to find a correlation pattern (dataset limitation) – Very common on all memorability levels – Correlated with medium levels of memorability

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SLIDE 13

Memorability and object classes

  • What about high correlation with very low

frequency ? (like “ice field”)

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SLIDE 14
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Filter by frequency

50
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Side effect of filtration by frequency

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SLIDE 17 High +ve correlation High - ve correlation Low correlation

Correlation after filtration

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SLIDE 18

Memorability and object classes

  • Most of the object classes are not

correlated with memorability, why ? Because:

– Not frequent enough to find a correlation pattern (filter infrequent images) – Very common on all memorability levels – Correlated with medium levels of memorability

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SLIDE 19 wall floor person person sitting ceiling shelves chair fluorescent tube screen ceiling lamp bag stand bottle seats box table desk boxes curtain bulletin board sconce cabinet text basket painting picture column pole door flowers staircase bench pot sign steps railing fence window car sidewalk streetlight boat path sand sea road water ground field plant grass mountain building tree sky
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SLIDE 20 wall floor person person sitting ceiling shelves chair fluorescent tube screen ceiling lamp bag stand bottle seats box table desk boxes curtain bulletin board sconce cabinet text basket painting picture column pole door flowers staircase bench pot sign steps railing fence window car sidewalk streetlight boat path sand sea road water ground field plant grass mountain building tree sky
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SLIDE 21 wall floor person person sitting ceiling shelves chair fluorescent tube screen ceiling lamp bag stand bottle seats box table desk boxes curtain bulletin board sconce cabinet text basket painting picture column pole door flowers staircase bench pot sign steps railing fence window car sidewalk streetlight boat path sand sea road water ground field plant grass mountain building tree sky
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SLIDE 22

Agenda

  • Memorability vs Object class
  • Memorabiliy vs Saliency
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SLIDE 23

Saliency vs Memorability

  • Experiment Design

– Run Saliency algorithm (T. Liu et al. CVPR 2007) on the memorability dataset. – Find correlation between area of salient region and memorability score – Find correlation between location of Salient block and memorability score – Study object classes statistics on salient regions

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SLIDE 24

Saliency vs Memorability

  • Corr (memorability score, salient region

area) = -3.01%

  • Corr (memorability score, salient region

location) = 4.87%

  • Why ?
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SLIDE 25

Saliency vs Memorability

High memorability score

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SLIDE 26

Saliency vs Memorability

Low memorability score

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SLIDE 27

Saliency and Object classes

  • Compare object class statistics (Presence,

Area) for :

– Full picture – Salient region – Non-Salient region

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SLIDE 28

Filtered by frequency and sorted by correlation

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SLIDE 29

Filtered by frequency and sorted by correlation

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SLIDE 30
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SLIDE 31 Person, Person setting
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SLIDE 32 Window
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SLIDE 33

Conclusion

  • Found a list of object classes sorted by

their relation to memorability

  • Memorability is not directly related to

saliency

  • Saliency is related to specific list of object

classes

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SLIDE 34

References

  • What Makes an Image Memorable? P. Isola, J.

Xiao, A. Torralba, A. Oliva. CVPR 2011.

  • Learning to Detect a Salient Object. T. Liu et al.

CVPR 2007

  • Matlab functions (http://www.mathworks.

com/matlabcentral/fileexchange/) : lscatter, herrorbar, rotateticklabel

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SLIDE 35

Thank You