In relevance feedback, the choice of images to present to the user is a difficult problem, as a naïve approach may present too many similar images. The challenge addressed in this project is to ensure diversity (aka “one of each”) as well as relevance. A particularly interesting project for students interested in efficient algorithms. Read more…
Supervisors: Björn Þór Jónsson
Semester: Fall 2021
Tags: multimedia analytics, scalability, 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 …
Supervisors: Björn Þór Jónsson
Semester: Fall 2021
Tags: multimedia analytics, diversity