Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recently, the field of CBIR has attracted a lot of attention in the literature. , the problem of visually similar image retrieval has been investigated. For this task  use the methods derived from the Bag of Visual Words approach, such as Scale Invariant Feature Transform (SIFT) for identifying image keypoints and K-means to build a visual dictionary. To create a ranking of similar images, a novel Ranking by K-means Voting algorithm is proposed. The experimental section shows that our method works ll for similar image retrieval. It turned out that our results are more accurate in comparison with a classical similarity measure based on the Euclidean metric in the order of 6% - 15%.
['Przemysław Górecki', 'Krzysztof Sopyła', 'Paweł Drozda']
I am writing a research paper on a idea Ranking by k-means voting algorithm for similar image retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Ranking by k-means voting algorithm for similar 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: Recently, the field of CBIR has attracted a lot of attention in the literature. , the problem of visually similar image retrieval has been investigated. For this task  use the methods derived from the Bag of Visual Words approach, such as Scale Invariant Feature Transform (SIFT) for identifying image keypoints and K-means to build a visual dictionary. To create a ranking of similar images, a novel Ranking by K-means Voting algorithm is proposed. The experimental section shows that our method works ll for similar image retrieval. It turned out that our results are more accurate in comparison with a classical similarity measure based on the Euclidean metric in the order of 6% - 15%."}]