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Image Interestingness

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Title: Image Interestingness


1
Image Interestingness
  • Harish Katti

2
Outline
  • Interestingness, an aesthetic attribute
  • The problem Interestingness
  • Related work Pre-attentive vision and Global
    properties
  • Our approach
  • Results

3
Interestingness
  • Properties of visual content in images belonging
    to a conceptual category which make the images
    preferred and desirable for viewing by users as
    compared to other images in the same category

4
Interestingness An aesthetic attribute
  • make the images preferred and desirable for
    viewing in a semantic category

Sunrise
Matsumoto Castle
5
Outline
  • Interestingness, an aesthetic attribute
  • The problem Interestingness
  • Related work Pre-attentive vision and Global
    properties
  • Our approach
  • Results

6
Aspects of interestingness !
  • pre-attentive (lt 50ms) ?
  • Does a quantitative measure exist ?
  • Has categories ?

Cognitive Load, Time-span to understand
Colour ?
Structure Colour ?
Abstract thought ?
Symmetry ?
Source Flickr
7
Image pool
People agree well with Flickr
8
Local and Global properties
Global Image level
From Vogel et. al. 2007
Local block level
9
Approach
  • Use global properties of images
  • Global properties for image categories Torralba
    2003
  • Pre-attentive scene classification Fei 2006
  • Use of Social networking and human interaction
    with media for corpus
  • Publicly accessible data from Flickr

10
Outline
  • Interestingness, an aesthetic attribute
  • The problem Interestingness
  • Related work Pre-attentive vision and Global
    properties
  • Our approach
  • Results

11
Global spectral signature
Beach, coast, mountain
Logarithm of mean power spectrum (normalised
squared FFT over image) Torralba 2003
Building, highway, Indoor
12
Global properties
  • Averaged spatial images
  • Averaged spectral signatures
  • Scene scale mean distance of observer to
    principal objects

Torralba 2003
13
In the long term everything matters !!!
Influence of blurring, scrambling, removing
colour, 4 sec presentation Vogel et. al. 2007
14
What do we see in a glance ?
Image Onset t0 secs
Mask Onset t27 to 500 msec
Time
Time
PT27 ms Mostly dark, some square things, maybe
furniture
PT40 ms Indoor shot, Large framed object, white
background
PT67 ms Interior of room, picture to right
black, table in center
Li 2006
15
Outline
  • Interestingness, an aesthetic attribute
  • The problem Interestingness
  • Related work Pre-attentive vision and Global
    properties
  • Our approach
  • Results

16
The experiment
  • Data from Flickr
  • Interesting photos Use interaction info
    (click-throughs, recommendation, esteem)
  • Control photos Ranked based on tag information
    only
  • Test to validate user agreement with Flickr
    interestingness algorithm
  • Forced-choice test between categories for
    pre-attentive interestingness
  • Automatic clustering based on global properties
    (structure, colour)

17
Data
  • 14 categories, 7 Natural, 7 man-made
  • 9,137 interesting, 16,244 relevant
  • Queried using a bag of words approach

18
Experiment protocol
Interesting ? First/second
64 ms
64 ms
Pre-attentive Interestingness
1000 ms
16-500 ms
16-500 ms
Time
Timeline for PT32 ms
Mask 0 ms
Noise 64 ms
Image1 32 ms
Image2 1064 ms
Noise 1100 ms
Mask 1132 ms
Question ?
19
Stimulus manipulation
Original
Only local info
Only global information
Intensity information
20
Outline
  • The problem
  • Interestingness, an aesthetic attribute
  • Pre-attentive vision and Global properties
  • Related work
  • Our approach
  • Results

21
Results Goodness of pre-attentive decision
Significant capability of discriminating
interestingness in pre-attentive time spans
Significant agreement of users notion of
interestingness with that of flickr in different
image modes
22
Ongoing work Categories of interestingness
Categories based on different types of image
attributes symmetry, abstraction, depth, etc
Categories based on time to discriminate
23
Interestingness is different from Relevance !
24
EXIF popularity and usage
25
Why do this ?
  • Media Semantics needs definitions of aesthetic
    properties
  • Are there categories ?
  • Interestingness filter (classifier) Flickr, 27
    million images
  • Short span discrimination gt Content presentation
    time
  • Personalized agents for user-preferences in image
    browsing

26
  • Still searching for that perfect sunset
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