Belgium - Vrije Universiteit Brussel (VUB) PhD Positions in Geometric Wavelets and 3D Graphics
August 19th, 2007
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3 PhD Positions at Vrije Universiteit Brussel (VUB) – Interuniversity MicroElectronics Centre
(IMEC), Belgium
Scalable 3D Graphics and their deployment on MP-SoC platforms
The principle targeted by any content producer is that of “create once, use anywhere”. In distribution terms, this translates to encoding once and being capable of decoding everywhere, in any circumstance of the transport network or client terminal. However, the increasing heterogeneity of both play-back devices and networks poses substantial problems for content distribution applications, since different end-users require a separate version of the content, specifically tailored to their terminal and connection characteristics. It is widely accepted that scalable coding of multimedia is currently the best solution to handle this problem [Ohm05], [MPG04]. With this respect, scalable multimedia coding technologies have been or are being developed for images, video, volumetric data or 3D graphics. Nonetheless, the successful deployment of such multimedia applications nowadays still comes at a heavy price in terms of resource consumption in terms of bandwidth, processing power, or memory.
Most of the current success stories in image, video and 3D graphics coding literature rely on wavelets. However, recent studies in the literature clearly indicate that even in simple planar geometry, i.e. images, wavelet transforms are unable to optimally capture and represent the higher-order discontinuities in which most of the signal energy is concentrated. Nonetheless, recent literature brings forth new types of transforms, generically labelled as geometric wavelets [Vet01], [Can04], [Cha06], that come as a solution to classical wavelets, in that their directionality and anisotropy properties allow them to near-optimally represent signals, even on manifolds. These transforms are slowly gaining popularity and attempts are being made at employing them in practical applications as viable alternatives to classical wavelets.
Employing geometric wavelets for 3D graphics and designing scalable coding systems based on them is an unexplored and very challenging research field. Three PhD positions in this area are available at the Vrije Universiteit Brussel (VUB). The research in this area will follow three major goals:
- Advance the state-of-the-art by designing a new 3D surface representation and scalable coding system based on geometric transforms on manifolds, and address all the scalability functionalities that need to be served by such a system.
- Account for scalability and optimize the resource management for such systems. In this context, investigate the necessary resources (i.e. descriptions inside Regions-of-Interest, positions of vertices,…) for reconstructing the model at the client side, and study the problems related to parallelization of resource requests.
- Investigate the deployment of such systems on MP-SoC (Multi-Processor System-on-Chip) platforms.
The PhD candidates will carry-out algorithmic design work at VUB. Additionally, the MP-SoC implementation aspects will be investigated in close collaboration with IMEC, which is Europe’s leading independent research centre in the field of micro- and nanoelectronics, enabling design methods and technologies for ICT systems.
Good programming skills in C/C++ and good knowledge in signal processing/wavelets are desirable. The PhD position can be filled immediately. Applications should be sent in PDF format to: Peter Schelkens (pschelke@etro.vub.ac.be).
[Ohm05] J.-R. Ohm, “Advances in scalable video coding,” Proceedings of the IEEE, vol. 93, no. 1, pp. 42-56, 2005.
[MPG04] “Applications and requirements for scalable video coding,” ISO/IEC JTC1/SC29/WG11 (MPEG), N6830, Palma de Mallorca, Spain, 2004.
[Vet01] M. Vetterli, “Wavelets, Approximation and Compression,” IEEE Signal Processing Magazine, vol. 18, pp. 59-73, 2001.
[Can04] E. J. Candès and D. Donoho, “New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C Singularities,” Communications on Pure Applied Mathematics, vol. 57, pp. 219-266, 2004.
[Cha06] C.-C. Chang, B. Girod , “Directional-Adaptive Discrete Wavelet Transform via Directional Lifting and Bandeletization,”
IEEE International Conference on Image Processing, 2006.
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