Efficient saliency detection using regional color and spatial information

Abstract : In this paper, we propose an efficient saliency model using regional color and spatial information. The original image is first segmented into a set of regions using a superpixel segmentation algorithm. For each region, its color saliency is evaluated based on the color similarity measures with other regions, and its spatial saliency is evaluated based on its color distribution and spatial position. The final saliency map is generated by combining color saliency measures and spatial saliency measures of regions. Experimental results on a public dataset containing 1000 images demonstrate that our computationally efficient saliency model outperforms the other six state-of-the-art models on saliency detection performance.
Type de document :
Communication dans un congrès
EUVIP, Jun 2013, Paris, France. 2013
Liste complète des métadonnées

https://hal.inria.fr/hal-00876192
Contributeur : Olivier Le Meur <>
Soumis le : jeudi 24 octobre 2013 - 09:15:39
Dernière modification le : vendredi 16 novembre 2018 - 01:31:14
Document(s) archivé(s) le : lundi 27 janvier 2014 - 12:11:18

Identifiants

  • HAL Id : hal-00876192, version 1

Citation

Shuhua Luo, Zhi Liu, Li Lina, Xuemei Zou, Olivier Le Meur. Efficient saliency detection using regional color and spatial information. EUVIP, Jun 2013, Paris, France. 2013. 〈hal-00876192〉

Partager

Métriques

Consultations de la notice

399

Téléchargements de fichiers

360