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  • Research Article
  • Open Access

3D Game Content Distributed Adaptation in Heterogeneous Environments

  • 1Email author,
  • 2,
  • 3,
  • 4 and
  • 5
EURASIP Journal on Advances in Signal Processing20072007:093027

  • Received: 31 August 2006
  • Accepted: 5 July 2007
  • Published:


Most current multiplayer 3D games can only be played on a single dedicated platform (a particular computer, console, or cell phone), requiring specifically designed content and communication over a predefined network. Below we show how, by using signal processing techniques such as multiresolution representation and scalable coding for all the components of a 3D graphics object (geometry, texture, and animation), we enable online dynamic content adaptation, and thus delivery of the same content over heterogeneous networks to terminals with very different profiles, and its rendering on them. We present quantitative results demonstrating how the best displayed quality versus computational complexity versus bandwidth tradeoffs have been achieved, given the distributed resources available over the end-to-end content delivery chain. Additionally, we use state-of-the-art, standardised content representation and compression formats (MPEG-4 AFX, JPEG 2000, XML), enabling deployment over existing infrastructure, while keeping hooks to well-established practices in the game industry.


  • Cell Phone
  • Heterogeneous Environment
  • Heterogeneous Network
  • Content Adaptation
  • Content Representation


Authors’ Affiliations

Grupo de Tratamiento de Imágenes, Universidad Politécnica de Madrid, Madrid, 28040, Spain
Département ARTEMIS, Institut National des Télécommunications, Évry, 91011, France
DESICS, Interuniversitair Micro Electronica Centrum, Leuven, 3001, Belgium
Telefónica Investigación y Desarrollo, Boecillo, 47151, Spain
Philips Research, Eindhoven, 5656 AE, The Netherlands


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© Francisco Morán et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.