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.
Supervisors: Björn Þór Jónsson
Semester: Fall 2021
Tags: multimedia analytics, scalability, diversity
In this project, we propose to implement media server and media browser encapsulating a new data model for analysing media collections, called Multimedia Analytics Data Services (MADS). To validate the design, some scalability experiments should be performed.
Supervisor: Björn Þór Jónsson
Semester: Fall 2020
Tags: multimedia analytics, scalability