@conference {12391,
	title = {Mapping Multimedia Applications Onto Configurable Hardware With Parameterized Cyclo-Static Dataflow Graphs},
	booktitle = {Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on},
	volume = {3},
	year = {2006},
	month = {2006/05//},
	pages = {III - III},
	abstract = {This paper develops methods for model-based design and implementation of image processing applications. We apply our previously developed meta-modeling technique of homogeneous parameterized dataflow (HPDF) (M. Sen et al., 2005) to the framework of cyclostatic dataflow (CSDF) (G. Bilsen et al., 1996), and demonstrate this integrated modeling methodology through hardware mapping of a gesture recognition application. We also provide a comparative study between HPDF/CSDF-based representation of the gesture recognition application, and a previously developed version based on applying HPDF in conjunction with conventional synchronous dataflow (SDF) semantics (M. Sen et al., 2005)},
	keywords = {configurable hardware, Data communication, Gesture recognition, gesture recognition application, graph theory, hardware mapping, image processing applications, mapping multimedia applications, meta-modeling technique, model-based design, Multimedia communication, parameterized cyclo-static dataflow graphs},
	doi = {10.1109/ICASSP.2006.1660838},
	author = {Haim,F. and Sen,M. and Ko,Dong-Ik and Bhattacharyya, Shuvra S. and Wolf,W.}
}
@conference {17854,
	title = {Model-based OpenMP implementation of a 3D facial pose tracking system},
	booktitle = {2006 International Conference on Parallel Processing Workshops, 2006. ICPP 2006 Workshops},
	year = {2006},
	month = {2006///},
	pages = {8 pp.-73 - 8 pp.-73},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Most image processing applications are characterized by computation-intensive operations, and high memory and performance requirements. Parallelized implementation on shared-memory systems offer an attractive solution to this class of applications. However, we cannot thoroughly exploit the advantages of such architectures without proper modeling and analysis of the application. In this paper, we describe our implementation of a 3D facial pose tracking system using the OpenMP platform. Our implementation is based on a design methodology that uses coarse-grain dataflow graphs to model and schedule the application. We present our modeling approach, details of the implementation that we derived based on this modeling approach, and associated performance results. The parallelized implementation achieves significant speedup, and meets or exceeds the target frame rate under various configurations},
	keywords = {3D facial pose tracking system, application modeling, application program interfaces, application scheduling, coarse-grain dataflow graphs, Concurrent computing, data flow graphs, Educational institutions, face recognition, IMAGE PROCESSING, image processing applications, Inference algorithms, Message passing, OpenMP platform, parallel implementation, PARALLEL PROCESSING, parallel programming, Particle tracking, Processor scheduling, SHAPE, shared memory systems, shared-memory systems, Solid modeling, tracking},
	isbn = {0-7695-2637-3},
	doi = {10.1109/ICPPW.2006.55},
	author = {Saha,S. and Chung-Ching Shen and Chia-Jui Hsu and Aggarwal,G. and Veeraraghavan,A. and Sussman, Alan and Bhattacharyya, Shuvra S.}
}
