Proportional-share scheduling in single-server and multiple-server computing systems
ACM SIGMETRICS Performance Evaluation Review
A Minimum Cost Approach for Segmenting Networks of Lines
International Journal of Computer Vision
Introduction to Real-Time Imaging
Introduction to Real-Time Imaging
A software architecture for user transparent parallel image processing
Parallel Computing - Parallel computing in image and video processing
mmGrid: Distributed Resource Management Infrastructure for Multimedia Applications
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A new look at exploiting data parallelism in embedded systems
Proceedings of the 2003 international conference on Compilers, architecture and synthesis for embedded systems
JIST: Just-in-Time Scheduling Translation for Parallel Processors
ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
An Integrated Memory Array Processor Architecture for Embedded Image Recognition Systems
Proceedings of the 32nd annual international symposium on Computer Architecture
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
A versatile stereo implementation on commodity graphics hardware
Real-Time Imaging
Fast image matching on web pages
WSEAS Transactions on Signal Processing
Methods of measure and analyse of video quality of the image
WSEAS Transactions on Signal Processing
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The aim of the paper is to validate architectures that allow an image processing researcher to develop parallel applications. A comparative analysis of the possible software and hardware solutions for real-time image and video processing was presented, with emphasis on distributed computing. The challenge was to develop algorithms that perform real-time low level operations on digital images able to be executed on a cluster of desktop PCs. The experiments on a case study show how to use parallelizable patterns and how to optimize the load balancing between the workstations.