The media world is evolving with increasing pace, placing advanced technology in the hands of the consumer much more frequently. Individuals, groups, enterprises and their devices are getting more and more connected wherever they go, expecting new services as a matter of course. The consumer's interaction with content - and even the creation of content - is on the verge of a dramatic change.

We are also following studios closely as they go through a paradigm shift in terms of how they create and produce digital content, with particular attention to the overall workflow, the associated MetaData management and new coding formats that will engender and facilitate this transition.

Our vision is to invent the future of digital media to create outstanding content and deliver unique consumer experiences for the home, theaters and on-the-go.

To reach this goal, Technicolor focuses research efforts in 3 main areas and a highly innovative and dynamic Exploratory Research Program.

Research Areas

Media Formats

Media Formats

COMPRESSION

Aims at enhancing the end user experience by providing High Dynamic Range (“HDR”) and Wide Color Gamut (“WCG”) solutions, whether to enable new ways to color correct the artistic content in post-production up to design a complete HDR video delivery chain with backward compatibility as the differentiating feature with regards to competition.

Immersive Media

Immersive Media

AUGMENTED & IMMERSIVE

Is the fastest emerging trend in industry with a wide range of research activities around Virtual Reality (VR), Augmented Reality (AR) and Light-Field. These disruptive technologies have the potential of transforming not only the way users will consume content but also how they will interact with it, building a bridge between the Media Entertainment and Gaming industries.

Digital Life Services

Digital Life Services

IOT & VIRTUALIZATION

Explores a vast range of business opportunities for expanding Connected Home device functionalities and services benefiting from emerging IoT technologies. In this field, R&I develops cutting-edge technologies in machine/deep learning that analyze sensor and/or network data to infer user behavior.