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Scalable error-resilient coding of meshes

Wednesday, 9 December, 2009 - 17:00
Campus: Brussels Humanities, Sciences & Engineering campus
auditorium P. Janssens
Dan Costin Cernea
phd defence

The dissertation mainly focuses on two topics in the field of scalable coding of meshes. The first topic introduces the novel
concept of local error control in mesh geometry encoding. In contrast to traditional mesh coding systems that use the meansquare
error as target distortion metric, this dissertation proposes a new L-infinite mesh coding approach, for which the target
distortion metric is the L-infinite distortion. In this context, a novel wavelet-based L-infinite-constrained coding approach for
meshes is proposed, which ensures that the maximum error between the original and decoded meshes is lower than a given
upper bound. Two distortion estimation approaches are presented, expressing the L-infinite distortion in the spatial domain as
a function of quantization errors produced in the wavelet domain. Additionally, a fast algorithm for solving the rate-distortion
optimization problem is conceived, enabling a real-time implementation of the rate-allocation.

The second topic presents a new approach for Joint Source and Channel Coding of meshes, simultaneously providing
scalability and optimized resilience against transmission errors. An unequal error protection approach is followed, to cope
with the different error-sensitivity levels characterizing the various resolution and quality layers produced by the input
scalable source codec. The number of layers and the protection levels to be employed for each layer are determined by
solving a joint source and channel coding problem. In this context, a novel fast algorithm for solving the optimization
problem is conceived, enabling a real-time implementation of the JSCC rate-allocation.