Sentence examples for between a query image from inspiring English sources

Most image instance retrieval pipelines are based on comparison of vectors known as global image descriptors between a query image and the database images.

In the second approach, the rotation angle between a query image and the database image is estimated.

Using the conventional Hausdorff distance metric [14] as the image feature matching technique, the maximum local distance is chosen as the matching distance, which produces low distance even if every pair of image feature elements are close between a query image and a dataset image.

In the second stage, verification stage, we measure the distance between the centroid of the polyhedron and a query image.

When a query image is inputted, a distance between the query image and the centroid is calculated, and then a distance is chosen from all the distances as the final score.

Lu et al. [10] introduce the three schemes to realize image retrieval in encrypted domain without first decrypting a query image of a ciphertext, where the encryption methods can remain the original relevance between the images approximately.

When a query image is presented to the system, it is projected into the latent topic space and then the cosine similarity is computed between each indexed images to get a ranked retrieval list.

In this dataset, the next and two images away from a query image are assumed as true image pairs.

The distance between a query point and a data point defines the similarity between the query image and a database image.

For example, Hausdorff distance [14 16] is a popular post-processing approach which is used to match image signatures between the query image and database images.

Subsequently, exploiting block-wise feature comparison, the server can measure the similarity between encrypted query image and database image.