Image Retrieval and Classification Techniques
Image Retrieval and Classification Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Image Retrieval and Classification Techniques?
This cluster of papers focuses on shape matching, object recognition, and content-based image retrieval using techniques such as local binary patterns, feature descriptors, and rotation-invariant methods. It also explores the application of these methods in medical imaging, semantic relevance modeling, and machine learning for image annotation.
How many works does Image Retrieval and Classification Techniques have?
Image Retrieval and Classification Techniques has 77,742 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Image Retrieval and Classification Techniques have?
Image Retrieval and Classification Techniques has 1,075,558 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Image Retrieval and Classification Techniques?
The OpenAlex for Image Retrieval and Classification Techniques is on the source record.