Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although porful image representations have been proposed for content-based image retrieval, most of the current systems are "rigid", i.e. they retrieve a fixed set of images as response to a given query and an image feature. , our goal is to introduce tools for making image retrieval systems more flexible. More precisely,  use multiple image features, and present in details a new relevance feedback technique that integrates the positive and negative examples provided by the user. Experimental results on various large databases show that the proposed technique is more performant than the standard relevance feedback approach.
['Chahab Nastar', 'Matthias Mitschke', 'Christophe Meilhac']
I am writing a research paper on a idea Efficient query refinement for image retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Efficient query refinement for image retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although porful image representations have been proposed for content-based image retrieval, most of the current systems are \"rigid\", i.e. they retrieve a fixed set of images as response to a given query and an image feature. , our goal is to introduce tools for making image retrieval systems more flexible. More precisely,  use multiple image features, and present in details a new relevance feedback technique that integrates the positive and negative examples provided by the user. Experimental results on various large databases show that the proposed technique is more performant than the standard relevance feedback approach."}]