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@INPROCEEDINGS{Foo2007,
  author = {B. Foo and Y. Andreopoulos and M. van der Schaar},
  title = {Analytical Complexity Modeling of Wavelet-based Video Coders},
  booktitle = {Proc. IEEE Int. Conf. Acoust., Speech and Signal Process., 2007 (ICASSP
	'07)},
  year = {2007},
  volume = {3},
  pages = {789--792},
  address = {Apr.},
  abstract = {Analytical modeling for video coders can be used in a variety of scenarios
	where information concerning rate, distortion or complexity is essential
	for driving system or network interactions with media algorithms.
	While rate and distortion modeling have been covered extensively
	in previous works, complexity is not well addressed because it is
	highly algorithm dependent and hence difficult to model. Based on
	a stochastic modeling framework for the transform coefficients, we
	present a novel complexity analysis for state-of-the-art wavelet
	video coding methods by explicitly modeling several aspects found
	in operational coders, i.e. embedded quantization and quadtree decompositions
	of block significance maps. The proposed modeling derives for the
	first time analytical estimates of the expected number of operations
	(complexity) for a broad class of wavelet video coders based on stochastic
	source models, coding algorithm and system parameters.},
  doi = {10.1109/ICASSP.2007.366798},
  keywords = {Multimedia Systems, Resource Modeling, Statistical Modeling of Media
	Decoding Complexity},
  timestamp = {2007.08.03}
}

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