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

Abstract : 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)
Type de document :
Communication dans un congrès
IPTA 2017 : 7th International Conference on Image Processing Theory, Tools and Applications, Nov 2017, Montreal, Canada. IEEE Computer Society, Proceedings IPTA 2017 : 7th International Conference on Image Processing Theory, Tools and Applications, pp.1 - 5, 2017, 〈10.1109/IPTA.2017.8310117〉
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https://hal.archives-ouvertes.fr/hal-01799262
Contributeur : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Soumis le : jeudi 24 mai 2018 - 14:52:45
Dernière modification le : jeudi 31 mai 2018 - 09:12:02

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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. IEEE Computer Society, Proceedings IPTA 2017 : 7th International Conference on Image Processing Theory, Tools and Applications, pp.1 - 5, 2017, 〈10.1109/IPTA.2017.8310117〉. 〈hal-01799262〉

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