Technical Section: Temporal wavelet-based compression for 3D animated models
Computers and Graphics
Statistical framework for video decoding complexity modeling and prediction
IEEE Transactions on Circuits and Systems for Video Technology
Software designs of image processing tasks with incremental refinement of computation
IEEE Transactions on Image Processing
Scheduling and energy-distortion tradeoffs with operational refinement of image processing
Proceedings of the Conference on Design, Automation and Test in Europe
Power-efficient video encoding on resource-limited systems: A game-theoretic approach
Future Generation Computer Systems
Complexity scalability in motion-compensated wavelet-based video coding
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Low-complexity video coding via power-rate-distortion optimization
Journal of Visual Communication and Image Representation
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We present a framework for the systematic analysis of video encoding complexity, measured in terms of the number of motion estimation (ME) computations, that we illustrate on motion compensated wavelet video coding schemes. We demonstrate the graceful complexity scalability of these schemes through the modification of the spatiotemporal decomposition structure and the ME parameters, and the use of spatiotemporal prediction. We generate a wide range of rate-distortion-complexity (R-D-C) operating points for different sequences, by modifying these options. Using our analytical framework we derive closed form expressions for the number of ME computations for these different coding modes and show that they accurately capture the computational complexity independent of the underlying content characteristics. Our framework for complexity analysis can be combined with rate-distortion modeling to determine the encoding structure and parameters for optimal R-D-C tradeoffs.