Image Retrieval Using Eye Movements - PowerPoint PPT Presentation

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Image Retrieval Using Eye Movements

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Image Retrieval Using Eye Movements – PowerPoint PPT presentation

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Title: Image Retrieval Using Eye Movements


1
Image Retrieval Using Eye Movements
  • Fred Stentiford Wole Oyekoya
  • University College London

2
Outline
  1. Eye Movement Behaviour
  2. Image Identification
  3. Image Search
  4. Conclusions Future Work

3
Eye Tracking System
4
Eye Movement Behaviour
saliency map
image
noROI
fixation and saccade map
5
Eye Movement Behaviour
saliency map
image
clearROI
fixation and saccade map
6
Eye Movement Behaviour no ROI
participant A
participant B
participant D
participant C
7
Eye Movement Behaviour clear ROI
participant A
participant B
participant D
participant C
8
Variance of Attention Measure
9
Time Fixating Salient Regions (ms)
10
Findings
  • No special fixation sequence although many look
    at salient regions first
  • Very salient regions inspected frequently and
    compared with background

11
Eye vs Mouse for Image Identification
target image
  1. Mouse click
  2. Fixation gt 40ms

12
Screen Display Sequence
D distractor Tn target image
13
Eye vs Mouse Response Times
12 participants
14
Eye vs Mouse Response Times
6 participants in each group
15
Image Search Task
target image
steps to target
1000 images13 participants
16
Image Selection
  • Gaze selection of an image is determined by the
    sum of all fixations of 80ms or more on that
    image exceeding a threshold.
  • Two thresholds 400ms and 800ms
  • Successive sets of 15 images are retrieved based
    on their similarity with selected image.
  • Performance compared with images randomly
    retrieved
  • Participants not told what determines screen
    changes

17
Target Images
easy to find
hard to find
18
Similarity Links
19
(No Transcript)
20
Results
13 participants8 sessions
Main effect Eye gaze 18 steps
Random 22 steps p lt 0.037
21
Results Easy vs Hard Images
22
Other Selection Criteria
24 participants8 sessions
Main effect fixation threshold not significant
23
Results - Lower Fixation Thresholds
6 participants3 sessions
Significant differences between random and 200ms
300ms.
24
Results - Lower Fixation Thresholds
25
Conclusions
  • Eye tracking can be faster than tactile
    interfaces for visual tasks
  • Eye tracking interfaces are feasible for fast
    image search
  • Pre-attentive vision plays a part in very rapid
    search

26
Future Work
  • Further study of human visual behaviour
  • Use of higher performance similarity measures
  • Application to browsing large collections of
    photos/videos
  • Shared interaction
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