 | 1 | initial version |
Hello, I'm looking for a database to store my extracted surf features.
My idea is to use MongoDB as feature store and add each row of image descriptor as document to MongoDB. MongoDB also includes knn and radius serch algorithms, but I cant estimate how i performs on image features (curretly I have descriptors with 61 dimensions and more than 10.000.000 features). Has someone ideas or experiance with mongodb or another socument store?
| | 2 | No.2 Revision |
Hello, I'm looking for a database to store my extracted surf features.
My idea is to use MongoDB as feature store and add each row of image descriptor as document to MongoDB. MongoDB also includes knn and radius serch algorithms, but I cant estimate how i performs on image features (curretly I have descriptors with 61 dimensions and more than 10.000.000 features). Has someone ideas or experiance with mongodb or another socument store?
| | 3 | No.3 Revision |
Hello,
I'm looking for a database to store my extracted surf (surf, sift, orb,...) features.
My idea is to use MongoDB as feature store and add each row of image descriptor as document to MongoDB. MongoDB also includes knn and radius serch algorithms, but I cant estimate how i performs on image features (curretly I have descriptors with 61 dimensions and more than 10.000.000 features). Has someone ideas or experiance with mongodb or another socument store?
| | 4 | No.4 Revision |
Hello, I'm looking for a database to store my extracted (surf, sift, orb,...) features.
My idea is to use MongoDB as feature store and add each row of image descriptor as document to MongoDB.
MongoDB.
MongoDB also includes knn and radius serch algorithms, but I cant can't estimate how i it performs on image features (curretly I have descriptors with 61 dimensions and more than 10.000.000 features).
Has someone ideas or experiance with mongodb or another socument store?
| | 5 | No.5 Revision |
Hello, I'm looking for a database to store my extracted (surf, sift, orb,...) features.
My idea is to use MongoDB as feature store and add each row of image descriptor as document to MongoDB.
MongoDB also includes knn and radius serch algorithms, but I can't estimate how it performs on image features
(curretly I have descriptors with 61 dimensions and more than 10.000.000 features).
features).
Has someone ideas or experiance with mongodb or another socument store?
thank you and best regards
