Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3times10 4  streetside images of a city.  investigate how the traditional invariant feature matching approach falls down as the size of the database grows. In particular  show that by carefully selecting the vocabulary using the most informative features, retrieval performance is significantly improved, allowing us to increase the number of database images by a factor of 10.  also introduce a generalization of the traditional vocabulary tree search algorithm which improves performance by effectively increasing the branching factor of a fixed vocabulary tree.
['Grant Schindler', 'Matthew A. Brown', 'Richard Szeliski']
I am writing a research paper on a idea City-Scale Location Recognition
[{"from": "human", "value": "I am writing a research paper on a idea City-Scale Location Recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  look at the problem of location recognition in a large image dataset using a vocabulary tree. This entails finding the location of a query image in a large dataset containing 3times10 4  streetside images of a city.  investigate how the traditional invariant feature matching approach falls down as the size of the database grows. In particular  show that by carefully selecting the vocabulary using the most informative features, retrieval performance is significantly improved, allowing us to increase the number of database images by a factor of 10.  also introduce a generalization of the traditional vocabulary tree search algorithm which improves performance by effectively increasing the branching factor of a fixed vocabulary tree."}]