Annotating multimedia for community folksonomy and ontology building

This is an audio recording which introduces and summarises this project.

Multimedia Training Videos

Multimedia Training Videos is a series of free learning videos to show anyone interested in learning packages like Flash, Director and Photoshop.

What is Multimedia

This presentation is for students on the 3rd year ECS Multimedia course where students run their own conference, and submit and review papers. This presentation introduces them to the topic of Multimedia Systems, and explains a number of key areas of the subject.

Multimedia Systems

These are the materials for the Multimedia Systems course run in ECS. Multimedia Systems is taught rather differently than most courses. Although there is a lecture series, this is to support the main activity - the organisation and participation is a student conference. The coursework is to produce a short paper on a chosen topic to be presented as a paper, poster or demonstration at a course conference to be held at the end of the semester. The process of producing and reviewing the coursework and then participating in the conference has been designed to be the means by students cover the full range of material associated with Multimedia Systems.

Multimedia Systems Overview - What is a Conference?

These are the introduction slides for the Multimedia Systems Course in ECS. They introduce the unusual structure of the course (it is run as a student conference), and explains the shape and purpose of an academic conference.

Mining Events from Multimedia streams, Jon Hare

peaker(s): Jon Hare Organiser: Time: 25/06/2014 11:00-11:50 Location: B32/3077 Abstract The aggregation of items from social media streams, such as Flickr photos and Twitter tweets, into meaningful groups can help users contextualise and effectively consume the torrents of information on the social web. This task is challenging due to the scale of the streams and the inherently multimodal nature of the information being contextualised. In this talk I'll describe some of our recent work on trend and event detection in multimedia data streams. We focus on scalable streaming algorithms that can be applied to multimedia data streams from the web and the social web. The talk will cover two particular aspects of our work: mining Twitter for trending images by detecting near duplicates; and detecting social events in multimedia data with streaming clustering algorithms. I'll will describe in detail our techniques, and explore open questions and areas of potential future work, in both these tasks.