Analysing inter-observer saliency variations in task-free viewing of natural images

Ulrich Engelke, Anthony Maeder, Hans-Jurgen Zepernick

    Research output: Contribution to conferencePaperpeer-review

    11 Citations (Scopus)

    Abstract

    We analyse variations of saliency between human observers when viewing natural image content. For this purpose, we conducted an eye tracking experiment to record gaze patterns of humans when viewing natural images. The resulting gaze patterns were used to create saliency maps for each observer and image. A correlation analysis is then conducted with the aim to quantify the variability of saliency between the observers and the different images. The results are considered to be a first step towards gaining a better understanding regarding the reliability of saliency maps for natural images.

    Original languageEnglish
    Pages1085-1088
    Number of pages4
    DOIs
    Publication statusPublished - 1 Dec 2010
    Event2010 17th IEEE International Conference on Image Processing -
    Duration: 26 Sept 2010 → …

    Conference

    Conference2010 17th IEEE International Conference on Image Processing
    Period26/09/10 → …

    Keywords

    • Correlation analysis
    • Eye tracking
    • Natural images
    • Saliency

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