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Lisa A. Markel Jeff B. Pelz, Ph.D. Center for Imaging Science Rochester Institute for Technology

Correlation Between Image Reproduction Preferences and Viewing Patterns Measured with a Head Mounted Eye Tracker. Lisa A. Markel Jeff B. Pelz, Ph.D. Center for Imaging Science Rochester Institute for Technology. Hypothesis .

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Lisa A. Markel Jeff B. Pelz, Ph.D. Center for Imaging Science Rochester Institute for Technology

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  1. Correlation Between Image Reproduction Preferences and Viewing Patterns Measured with a Head Mounted Eye Tracker Lisa A. Markel Jeff B. Pelz, Ph.D. Center for Imaging Science Rochester Institute for Technology

  2. Hypothesis An eye tracker can be used to determine eye movements and fixations while viewing pairs of images. Scenes type dependent Portraits-> face and other exposed flesh Landscapes -> sky and foliage People In Nature -> flesh, sky, and foliage

  3. Hypothesis There is also anticipation that there will be a distinct viewing pattern when comparing pairs or sets of images. Patterns: Original->ReproductionAlternation Original->Reproduction Overall Scanning

  4. Eye Tracker • Eye Tracking Device • Applied Science Laboratories Series 5000 Eye Tracking System • Characteristics • Captures eye line of gaze with respect to head • Non-invasive • Mobility

  5. Landscape Scene 1 Reproduction 1 Original Reproduction 2 Series 5000 Eye Tracking System • Eye Monitor • Pupil Reflection • Corneal Reflection • Scene Monitor • Scene display • Eye line of gaze +

  6. Methodology • Participants • 8 total participants • Students and Friends • 7 male and 1 female • Normal Color Vision

  7. Methodology • Stimuli • 5x7 inch Prints • KODAK DS 8650 Thermal Printer • One Original, Two Reproductions • Original - straight-through output path • Reproductions - same as original with selective changes • Scene Categories with 12 Images Each • Portrait • Landscape • People in Nature

  8. Image Preparation Film Originals KODAK Photo CD Color Adjustment KODAK DS 8650 Thermal Prints

  9. Scene Layout Landscape Scene 1 Reproduction 1 Original Reproduction 2

  10. Methodology • Questions • Determine which of the two reproductions are preferred • Determine which of the two reproductions most closely matches the originalThe order in which these two questions are performed will alternate.

  11. Landscape Scene 1 Reproduction 1 Original Reproduction 2 Data Collection • Initial Data Stored on 8mm tape + Approximately 35 minutes for each subject

  12. Data Collection • Tape data was analyzed frame by frame to acquire fixation information • Each subject • Every Image • Approximately 3 hrs per subject 11 10 6 1 5 Original 9 16 17 A 4 13 8 7 3 12 2 1 14 18 15 B Scene 1

  13. Data Analysis • Points connected to see view patterns Original A B Scene 1

  14. Data Collection • Spread Sheet Parameters • Total Viewing Time for Each Scene • Viewing Location (Original, A, B) • Total Number of Fixations • Number of Fixations Per Second • Run Length (How many sequential fixations in the same image • Number of Point to Point Correlations

  15. Graphing Data • Spreadsheet was used to generate several graphs • Provide graphic data for each parameters • Show the distinctions • Between two questions asked and fixation patterns • Between Scene Type

  16. Results - Total Viewing Time

  17. Results - Point to Point Correlation

  18. Results - Total Number of Fixations

  19. General Results Like Better Match Original

  20. General Results • Fixations • Time - Most subjects had longer fixation when they were asked to choose which they like better • Correlation Points - Larger number when trying to match the original • Total Number of Fixation - Larger for matching original

  21. General Results • Scene Content • Landscapes - General concentration to main subject in the scene, secondary focus on sky, foliage • Portraits - Concentration on facial features, secondary focus on clothing • People in Nature - Primary focus to flesh, secondary focus to foliage, sky

  22. Further Testing • More Subjects • Statistics - ANOVA A final report will be available on the Web: http://www.cis.rit.edu/~lam8488

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