INFO2009 2012-13 Group 17 - The 8 Team “Do You Know the Equality Act” video

a video called “Do You Know the Equality Act”. The video is aimed at undergraduate and A level students. This was produced by 17 and our name is “The 8 Team”. The group consists of Elizabeth Bolton, Aisha Guba, Zoe Butler, Caroline Lee, Yingyi Emily Liu, George Lovegrove and Annie Relfe. Our content is based on the topic of legal awareness through

INFO2009 2012-13 Resource Group 19 Video "Movie Tech: Fantasy or Reality?"

Directory containing a teaching resource titled Movie Tech: Fantasy or Reality?, as well as a flyer promoting this resource and a file readme.txt which contains further information

INFO2009 2012-13 Resource Group 20: video "Panorama: An Investigation into Augmented Reality"

Group 20 (km) "Kirk's Krew" is proud to present "Panorama: An Investigation into Augmented Reality," an exciting and entertaining video used for the general public which engages through a fast-paced investigatory style. You'll never forget the story of students Jake and Andrew as they seek to thwart the villianous schemes of Larry Beige with help and hindrance from AR! Explore the past, present and future of AR in a Panorama style investigation! ECS' very own Dr Enrico Costanza is on hand with years of expertise! For a full listing of share contents, please see readme.txt

INFO2009 2012-13 Resource Group 25 video, website future awareness

Web 3.0 - Future Technology Awareness By Team "Time Management": Alejandro Saucedo - Video & Flyer Stephen Griffith - Website James Crickmere - Research Jack Kanani - Dictionary In this era you cannot afford being tech-illiterate as it is literally everywhere! This is why we did thorough research on the future of technology - Web 3.0! You can find all our resources at http://web3.hackasoton.com

Knitting Video Training

A number of videos on how to use the various machines within the Knit Pathway at WSA. Please note that watching these videos does not mean you are authorised to use these machines, this is for reference after a formal in person induction.

Video accompanying 2013 Mentor Update

Excerpt from a care home scenario to accompany 2013 Mentor Update.

Use of video mark schemes to facilitate student generated feedback and reflection

Presentation

WAIS Seminar:Let's SoFWIReD!

Title: Let’s SoFWIReD! Time: Wed, 21 May 2014 11:00-11:50 Location: Building 32, Room 3077 Speaker: Dr Sepi Chakaveh Abstract The information age as we know it has its roots in several enabling technologies – most of all the World Wide Web – for the provision of truly global connectivity. The emergence of a Web of Big Data in terms of the publication and analysis of Open Data provides new insights about the impact of the Web in our society. The second most important technology in this regard has been the emergence of streaming processes based on new and innovative compression methods such as MP3 so that audio and video content becomes accessible to everyone on the Web. The SoFWIReD team is developing comprehensive, interoperable platforms for data and knowledge driven processing of Open Data and will investigate aspects of collective intelligence. Insights generated in the project will form the basis for supporting companies through consulting, organisational development, and software solutions so that they can master the collective intelligence transition. The seminar will present how the project addresses the research topics of web observatory, dynamic media objects, crowd-sourced open data and Internet services. At the end of a talk a number of demos will be shown in the context of SoFWIReD’s Dynamic Media Object.

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.

Helping hand for academics on video capture

This is a presentation from ALT-C