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Multimedia Representation, Processing, Transmission, Visualization and Forensics

General Scientific Contacts: Peter Schelkens and Adrian Munteanu

Multimedia representation

Scientific Contact: Adrian Munteanu

To be able to efficiently manipulate, transmit and store high-resolution image and video material, highly efficient compression technologies are needed. Research in this area is focused on:

• Efficient compression of high-resolution video material.

• The development of perceptually optimized compression technology

• 3D media (3D graphics, 3D video, holography, …

• Scalable coding to enable the adaptation of the content to various terminals and dynamically changing network characteristics

• Transcoding

Multimedia transmission

Scientific Contacts: Joeri Barbarien and Marnix Goossens

The proliferation of cloud computing and mobile multimedia consumption and production also necessitates new breakthroughs in multimedia transmission technology:

• The error-prone nature of wireless channels necessitates further study of error-resilient transmission, including the study of channel models, error correcting codes, interleaving, joint source-channel coding, rate control, and multiple description coding.

• 3D video and mobile 3D immersive environments will requiring the design of intelligent, context-aware error-resilient and error concealment mechanisms.

• Characterization and control of end-to-end delay in multimedia transmission for interactive applications such as mobile gaming (with rendering in the cloud), video conferencing and telepresence.

• Internet protocol engineering

Multimedia forensics

Scientific Contact: Ann Dooms

Throughout the lifecycle of a multimedia item, from capturing to visualization, the data can be submitted to a series of wanted and unwanted alterations. It is a daunting task to retrace the successive modifications a multimedia item (or its source) has undergone. This is the goal of multimedia forensics and our research encompasses in particular:

• The quantification of the degradations multimedia content undergoes during capturing, production and distribution. To be able to define acceptable quality, research into objective perceptual quality measures is required.

• Watermarking, Traitor tracing and Authentication.

• Art-historical investigation and sustainable conservation of the world art inheritance through multimodal image processing.

For more information: http://mf.etro.vub.ac.be

Complexity and power consumption

Scientific Contact: Jan Lemeire

An important emerging trend is the growing importance of applications requiring low-complexity, low-power image processing technology (cf. Green ICT). On one hand there are cloud computing applications where complex image processing tasks such as stitching and 3D rendering are performed in the network. On the other hand, mobile consumption and production of multimedia material has grown dramatically in the last years. IRIS Research focuses on:

• Development of new implementations of existing image and video processing technology supporting massive parallelism and the design of new coding technologies better suited for parallelization.

• Automated performance analysis of parallel applications, causal performance analysis and parallel discrete event simulation.

• Reconfigurable hardware

• Cloud computing and distributed source coding

• Green ICT