Hash-Based Indexing for Relevance Feedback

Supervisors: Björn Þór Jónsson
Semester: Fall 2021
Tags: multimedia analytics, diversity

In interactive learning systems, such as Exquisitor, the system presents potentially relevant images to users who label them as either relevant or irrelevant. Currently, Exquisitor uses a cluster-based index, which allows it to return results from a collection of 100 million images in 0.3 seconds. The goal of this project is to study the application of hash-based indexing to interactive learning and compare to the current approach.

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