Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, an information-based saliency technique which is biologically plausible and computationally feasible called Discriminant Saliency (DIS) has been proposed. While DIS successfully defines discriminant saliency in the information theoretic sense, its implementation restraints the sampled features to a single fixed-size window and creates a bias towards objects with distinctive features fitted in the window size.  proposes a multi-scale discriminant saliency (MDIS) technique for visual attention which uses the wavelet transform for the multi-resolution framework. MDIS utilizes mutual information beten classes and feature distribution to quantify classifying discriminant por as saliency value in multiple dyadic-scale structures. The paper will present simulations on Neil Bruce's image database with quantitative and qualitative results showing the advantages of MDIS over DIS. For quantitative comparisons, numerical tests AUC, NSS, LCC are measured and several plots are generated to visualized differences beten simulation modes; meanwhile, qualitative evaluation is a visual examination of synthesized saliency maps of general natural scenes.
['Anh Cat Le Ngo', 'Li-Minn Ang', 'Guoping Qiu', 'Kah Phooi Seng']
I am writing a research paper on a idea Multi-scale visual attention & saliency modelling with decision theory
[{"from": "human", "value": "I am writing a research paper on a idea Multi-scale visual attention & saliency modelling with decision theory"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, an information-based saliency technique which is biologically plausible and computationally feasible called Discriminant Saliency (DIS) has been proposed. While DIS successfully defines discriminant saliency in the information theoretic sense, its implementation restraints the sampled features to a single fixed-size window and creates a bias towards objects with distinctive features fitted in the window size.  proposes a multi-scale discriminant saliency (MDIS) technique for visual attention which uses the wavelet transform for the multi-resolution framework. MDIS utilizes mutual information beten classes and feature distribution to quantify classifying discriminant por as saliency value in multiple dyadic-scale structures. The paper will present simulations on Neil Bruce's image database with quantitative and qualitative results showing the advantages of MDIS over DIS. For quantitative comparisons, numerical tests AUC, NSS, LCC are measured and several plots are generated to visualized differences beten simulation modes; meanwhile, qualitative evaluation is a visual examination of synthesized saliency maps of general natural scenes."}]