The PROVISION Marie Curie Initial Training Network (ITN) programme integrates expertise from leading European academic and industrial investigators in the form of a unique training platform on perceptually optimised video compression technology.

What we're doing

The aim of the PROVISION is to provide the highest level of training in video compression and transferable skills for our researcher team, with the ultimate goal of delivering transformational research, innovative technology and new international standards. Training activities will be conducted in the context of a high-level European research collaboration between some of the leading and most appropriate universities, research institutes, companies and end-user enterprises in Europe. The trained researchers will have significant competitive advantages in securing better jobs in academia or industry, and will be prepared as leaders in the development and uptake of this technology. Technical and management activities will be complemented by an integrated training programme.

Further details can be found on the PROVISION project website.

More project info

Why it matters

Around 50% of the human brain is dedicated to vision processing. This perhaps explains our capacity to be entertained, challenged and informed by visual information. Video technology is now pervasive, with mobile video, terrestrial and satellite HDTV, Blu-ray players, digital cameras, video telephony, multimedia messaging, video conferencing and surveillance all underpinned by efficient signal representations. It is therefore a very exciting and challenging time for video compression – the need for technical advances, and for the highly skilled researchers to deliver them, has never been greater!

How it works

Significant technical advances are expected through the emerging areas of content-based video compression including perceptual compression. This approach is driven by the assumption that, in most cases, the target is to provide good subjective quality rather than to minimise the error between the original and coded pictures. It is thus possible to conceive of a compression scheme where an analysis/synthesis framework replaces the conventional energy minimisation approach and where human factors are considered to improve the Quality of Experience for the benefit of substantially lower bitrates.

People and partners

Project team

Project Partners