Abstract de la publi numéro 11613
Triangular meshes modeling 3D objects are becoming an increasingly prevalent data type in net-
worked applications such as digital museums, online games, and virtual worlds. In these ap-
plications, a 3D mesh is typically coded progressively, yielding a multi-resolution representation
suitable for streaming. While such progressive coding allows incremental rendering for users while
data is being transmitted, it introduces dependencies between data, causing delay in rendering
when packets are lost. This paper quantitatively analyzes the effects of such dependency by mod-
eling the distribution of decoding time as a function of mesh properties and network parameters.
We apply our model to study two extreme cases of dependency in progressive mesh and show that
the effect of dependencies on decoded mesh quality diminishes with time. Our model provides
the expected decoded mesh quality at the receiver at a given time. Based on this expected value,
we propose a packetization strategy that improves the decoded mesh quality during the initial
stage of streaming. We validate the accuracy of our model under a variety of network conditions,
including bursty losses, fluctuating RTT, and varying sending rate. The values predicted from our
model match the measured value reasonably well in all cases except when losses are too bursty.