Details

Autor(en) / Beteiligte

• Riche, N.
• Mancas, M.
• Gosselin, B.
• Dutoit, T.

Titel

Rare: A new bottom-up saliency model

Ist Teil von

• 2012 19th IEEE International Conference on Image Processing, 2012, p.641-644

Ort / Verlag

IEEE

Erscheinungsjahr

2012

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• In this paper, a new bottom-up visual saliency model is proposed. Based on the idea that locally contrasted and globally rare features are salient, this model will be called "RARE" in the following sections. It uses a sequential bottom-up features extraction where first low-level features as luminance and chrominance are computed and from those results medium-level features as image orientations are extracted. A qualitative and a quantitative comparison are achieved on a 120 images dataset. The RARE algorithm powerfully predicts human fixations compared with most of the freely available saliency models.