Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust detection of a large dictionary of salient objects in natural image database is of fundamental importance to image retrieval systems.  review three popular frameworks for salient object detection, i.e., segmentation-based method, grid-based method and part-based method and discuss their advantages and limitations.  argue that using these frameworks individually is generally not enough to handle a large number of salient object classes accurately because of the intrinsic diversity of salient object features. Motivated by this observation,  have proposed a new system which combines the merits of these frameworks into one single hybrid system. The system automatically selects the appropriate modeling method for each individual object class using  J  measure and shape variance.  conduct comparison experiments on two popular image dataset --  Corel  and  LabelMe . Empirical results have shown that the proposed hybrid method is more general and can handle much more salient object classes in a robust manner.
['Yuli Gao', 'Jianping Fan']
I am writing a research paper on a idea Automatic function selection for large scale salient object detection
[{"from": "human", "value": "I am writing a research paper on a idea Automatic function selection for large scale salient object detection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Robust detection of a large dictionary of salient objects in natural image database is of fundamental importance to image retrieval systems.  review three popular frameworks for salient object detection, i.e., segmentation-based method, grid-based method and part-based method and discuss their advantages and limitations.  argue that using these frameworks individually is generally not enough to handle a large number of salient object classes accurately because of the intrinsic diversity of salient object features. Motivated by this observation,  have proposed a new system which combines the merits of these frameworks into one single hybrid system. The system automatically selects the appropriate modeling method for each individual object class using  J  measure and shape variance.  conduct comparison experiments on two popular image dataset --  Corel  and  LabelMe . Empirical results have shown that the proposed hybrid method is more general and can handle much more salient object classes in a robust manner."}]