2008, English, Article edition: Spatio-temporal saliency model to predict eye movements in video free viewing Marat, Sophie; Ho Phuoc, Tien; Granjon, Lionel; ...

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Bookmark: http://trove.nla.gov.au/version/206459
Physical Description
  • text
Published
  • HAL - CCSD
  • 2008
Language
  • English

Edition details

Title
  • Spatio-temporal saliency model to predict eye movements in video free viewing
Author
  • Marat, Sophie
  • Ho Phuoc, Tien
  • Granjon, Lionel
  • Guyader, Nathalie
  • Pellerin, Denis
  • Guérin-Dugué, Anne
Published
  • HAL - CCSD
  • 2008
Physical Description
  • text
Subjects
Notes
  • This paper presents a spatio-temporal saliency model that predicts eye movements. This biologically inspired model separated a video frame into two signals corresponding to the two main outputs of the retina (parvocellular and magnocellular outputs). Both signals are then decomposed into elementary feature maps by cortical-like filters. These feature maps are then used to form two saliency maps: a static one and a dynamic one. These maps are fused into a spatio-temporal saliency map. The model is evaluated by comparing the salient areas of each frame predicted by these saliency maps (static, dynamic, spatio-temporal) to the eye positions of different subjects during a video free viewing experiment with a large database (17000 frames).
  • HAL:hal-00288966, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00288966/​en/​
Language
  • English
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