D. Ginhac, J. Sérot, and J. Dérutin, Fast prototyping of image processing applications using functional skeletons on MIMD-DM architecture, IAPR Workshop on Machine Vision Applications, pp.468-471, 1998.

D. Ginhac, Prototypage rapide d'applicationsparalì eles de vision artificielle par squelettes fonctionnels, 1999.

J. Sérot, D. Ginhac, and J. Dérutin, SKiPPER: A Skeleton-Based Parallel Programming Environment for Real-Time Image Processing Applications, 5th International Conference on Parallel Computing Technologies (PACT '99), V. Malyshkin, pp.296-305, 1999.
DOI : 10.1007/3-540-48387-X_31

J. Sérot, D. Ginhac, R. Chapuis, and J. Dérutin, Fast prototyping of parallel-vision applications using functional skeletons, Machine Vision and Applications, pp.271-290, 2001.
DOI : 10.1007/s001380050146

R. Coudarcher, J. Sérot, and J. Dérutin, Implementation of a Skeleton-Based Parallel Programming Environment Supporting Arbitrary Nesting, Lecture Notes in Computer Science, vol.2026, pp.71-85, 2001.
DOI : 10.1007/3-540-45401-2_6

M. Hamdan, G. Michaelson, and P. King, A scheme for nesting algorithmic skeletons, Proc. 10th International Workshop on Implementation of Functional Languages (IFL '98, pp.195-212, 1998.

G. Michaelson, N. Scaife, P. Bristow, and P. King, NESTED ALGORITHMIC SKELETONS FROM HIGHER ORDER FUNCTIONS, Special issue on high level models and languages for parallel processing, pp.181-206, 2001.
DOI : 10.1007/BFb0012826

M. Hamdan, A Combinational framework for parallel programming using algorithmic skeletons, 2000.

F. Jurie and M. Dhome, A simple and efficient template matching algorithm, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.544-549, 2001.
DOI : 10.1109/ICCV.2001.937673
URL : https://hal.archives-ouvertes.fr/inria-00548281

M. Cole, Algorithmic Skeletons, 1989.
DOI : 10.1007/978-1-4471-0841-2_13

M. Cole, Algorithmic Skeletons, Research Directions in Parallel Functional Programming, pp.289-303, 1999.
DOI : 10.1007/978-1-4471-0841-2_13

J. Sérot, Embodying parallel functional skeletons: An experimental implementation on top of MPI, 3rdIntlEuro-Par Conference on Parallel Processing, pp.629-633, 1999.
DOI : 10.1007/BFb0002793

N. Scaife, A dual source parallel architecture for computer vision, 2000.

T. Grandpierre, C. Lavarenne, and Y. Sorel, Optimized rapid prototyping for real-time embedded heterogeneous multiprocessors, Proceedings of the seventh international workshop on Hardware/software codesign , CODES '99, pp.74-79, 1999.
DOI : 10.1145/301177.301489

W. Gropp, E. Lusk, N. Doss, and A. Skjellum, A high-performance, portable implementation of the MPI message passing interface standard, Parallel Computing, vol.22, issue.6, pp.789-828, 1996.
DOI : 10.1016/0167-8191(96)00024-5

R. Coudarcher, Composition de squelettes algorithmiques: application au prototypage rapide d'applications de vision, 2002.
URL : https://hal.archives-ouvertes.fr/tel-00003350

G. D. Hager and P. N. Belhumeur, Efficient region tracking with parametric models of geometry and illumination, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.10, pp.1025-1039, 1998.
DOI : 10.1109/34.722606

F. Dellaert and R. Collins, Fast image-based tracking by selective pixel integration, International Conference on Computer Vision Workshop on Frame-Rate Vision, 1999.

J. Sérot-e, Camlflow: a caml to data-flow translator, " in Trends in Functional Programming, Intellect Books, vol.2, pp.129-141, 2001.

F. Marmoiton, F. Collange, P. Martinet, and J. Dérutin, A real time car tracker, Proc. International Conference on Advances in Vehicle Control and Safety (AVCS '98), pp.282-287, 1998.