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

The goal of this project is to enhance PhotoCube as a competior for the Video Browser Showdown, an international video retrieval competition where competing systems are judged based on speed, accuracy and recall. We propose to develop new versions of the C++-based media server and JS-based media browser, to expand the data model to videos and improve the performance sufficiently to take part in …
Supervisors: Björn Þór Jónsson
Semester: Fall 2021
Tags: video search, multimedia analytics, photocube

We are actively developing a new prototype for analysing large multimedia collections in virtual reality, based on the ObjectCube data model. There are many ways in which students can contribute to the project, including work on the user interface and the back-end, and later on running large-scale user experiments. Read more…
Supervisors: Aaron Duane, Björn Þór Jónsson
Semester: Fall 2021
Tags: virtual reality, multimedia analytics

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. Read more…
Supervisor: Björn Þór Jónsson
Semester: Fall 2020
Tags: multimedia analytics, scalability

Students at ITU have made a prototype version of the Exquisitor system for the Android mobile phone! The system is missing some of Exquisitor’s advanced functionality, such as search and indexing, and the goal is to add and evaluate this functionality. Read more…
Supervisor: Björn Þór Jónsson
Semester: Fall 2020
Tags: multimedia analytics, android

We propose to develop a new prototype for analysing large multimedia collections in Virtual Reality, using the new Valve Indexes. There are many ways in which students can contribute to the project, including work on the user interface and the back-end, and later on running large-scale user experiments. Read more…
Supervisor: Björn Þór Jónsson
Semester: Fall 2020
Tags: virtual reality, multimedia analytics