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Communication Dans Un Congrès Année : 2017

HEVC stream saliency extraction: synergies between FIT and information theory principles

Résumé

The present paper studies the potential synergies between a popular approach in saliency extraction - FIT (feature integration theory) and source coding principles. By combining these two approaches, a new saliency model, extracted directly at the HEVC steam syntax elements level is defined. The experiments confront the new model to the human saliency, captured by eye-tracking devices. They consider a reference corpus representing density fixation maps, two objective criteria, two objective measures and 7 state-of-the-art saliency models (3 acting in pixel domain and 4 acting in compressed domain)
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Dates et versions

hal-01799262 , version 1 (24-05-2018)

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Marwa Ammar, Mihai Mitrea, Ismail Boujelbane. HEVC stream saliency extraction: synergies between FIT and information theory principles. IPTA 2017 : 7th International Conference on Image Processing Theory, Tools and Applications, Nov 2017, Montreal, Canada. pp.1 - 5, ⟨10.1109/IPTA.2017.8310117⟩. ⟨hal-01799262⟩
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