KMi Seminars
Managing Personal Libraries of Broadcast TV Content
This event took place on Wednesday 10 September 2008 at 11:30

 
Dr Cathal Gurrin Centre for Digital Video Processing, Dublin City University

This is a general talk about our experiences of developing digital video search technologies since 1999 at the Centre for Digital Video Processing at Dublin City University. No prior knowledge is required.

As the volume of digital video data in existence constantly increases, the resulting vast archives of broadcast video content and user created content are presenting both an opportunity and a requirement for the development of content-based video retrieval systems. In this seminar I will describe experiences from almost ten years of research into managing broadcast TV content, from the early days of the Físchlár digital video library and the early TRECVid retrieval experiments, to the more recent deployment of broadcast TV search technologies in the living room. I will discuss our experiences of providing effective retrieval from broadcast TV content, the challenges that are presented as broadcast TV search technologies are deployed in the home, and also how we see these search technologies progressing into the near future.

 
KMi Seminars
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website