Details

Autor(en) / Beteiligte

• Riche, Nicolas
• Taylor, John G.
• Ferrera, Vincent P.
• Mancas, Matei

Titel

Study of Parameters Affecting Visual Saliency Assessment

Ist Teil von

• From Human Attention to Computational Attention, p.227-243

Ort / Verlag

New York, NY: Springer New York

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The computational modelling of visual attention has been developed and expanded considerably during the past 10 years. Many different saliency models are now available online (for still images and videos). At the same time, many popular image-video datasets with human gaze data or binary masks have been released to evaluate saliency models with commonly used evaluation metrics. The new challenges and future directions for this field are therefore to establish evaluation protocols and saliency benchmarks. Although some evaluation studies and online benchmarks have already been proposed and are major contributions, a key underlying issue is: how can one fairly evaluate all these models? In this chapter, we investigate this question with an evaluation, divided into four experiments, leading to the proposition of a new evaluation framework.