Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Content based image retrieval (CBIR) has been the center of interest for a long time. A lot of research have been done to enhance the performance of these systems. Most of the proposed works focused on improving the image representation(bag-of-features) and classification methods. ,  focus on enhancing the second component of CBIR system: region appearance description method. In this context,  propose a new descriptor describing the spatial frequency property of some perceptual features in the image. This descriptor has the advantage of being lor dimension vs. traditional descriptors as SIFT (60 vs. 128), thus computationally more efficient, with only 5% loss in performance using a typical CBIR algorithm on VOC 2007 dataset.
['Dounia Awad', 'Vincent Courboulay', 'Arnaud Revel']
I am writing a research paper on a idea A New Hybrid Texture-Perceptual Descriptor: Application CBIR
[{"from": "human", "value": "I am writing a research paper on a idea A New Hybrid Texture-Perceptual Descriptor: Application CBIR"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Content based image retrieval (CBIR) has been the center of interest for a long time. A lot of research have been done to enhance the performance of these systems. Most of the proposed works focused on improving the image representation(bag-of-features) and classification methods. ,  focus on enhancing the second component of CBIR system: region appearance description method. In this context,  propose a new descriptor describing the spatial frequency property of some perceptual features in the image. This descriptor has the advantage of being lor dimension vs. traditional descriptors as SIFT (60 vs. 128), thus computationally more efficient, with only 5% loss in performance using a typical CBIR algorithm on VOC 2007 dataset."}]