Sentence examples for image queries from inspiring English sources

Image queries contained a large number of unique terms.

This study examined visual information needs as expressed in users' Web image queries.

On average, there were 3.36 image queries per user containing an average of 3.74 terms per query.

Twenty-eight terms were used to identify queries for both still and moving images, resulting in a subset of 33,149 image queries by 9855 users.

We provide data on: (1) image queries – the number of queries and the number of search terms per user, (2) image search sessions – the number of queries per user, modifications made to subsequent queries in a session, and (3) image terms – their rank/frequency distribution and the most highly used search terms.

Emerging search engines such as Like.com allow searches via image queries, but are far from becoming mainstream.

An imaging exam contains at least 1 image (Query 3.1), an average of 363 images (Query 3.2), and a maximum of 10664 images (Query 3.3).

This project applied Jorgensen's three image retrieval tasks (1995) and Enser's four models of image retrieval (1995) to investigate end-users' image retrieval tasks and image query modes in the field of art history.

To return results based on an image query, Like.com compares a "visual signature" for the query image to possible results.

Traditional image query techniques retrieve images by matching keywords [2], such as geographic location, sensor type, and time of acquisition.

The ORB prototype compares the features of the spectrogram image query to a database of spectrogram images of the songs.