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What is CBIR with CNN Feature Extraction about?

Convolutional neural networks can be used to improve content-based image retrieval. The proposed method uses deep features extracted from a CNN to represent images. Pair features are generated from each query-image pair in the dataset and ranked by their distance to a trained hyperplane. Experiments show this method significantly improves retrieval performance for object images compared to existing techniques using SIFT features and optimization algorithms. While this CNN-based approach works best in tests,

Author

Praveen Modela

Language

EN