Video compression with parallel processing
Parallel Computing - Parallel computing in image and video processing
Parallel MPEG-2 Encoder on ATM and Ethernet-Connected Workstations
ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation
Granularity Levels in Parallel Block-Matching Motion Compensation
Proceedings of the 9th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Practical algorithms for scheduling video data in a local area network environment
The Journal of Supercomputing
Implementing a WLAN video terminal using UML and fully automated design flow
EURASIP Journal on Embedded Systems
Scalable MPEG-4 encoder on FPGA multiprocessor SOC
EURASIP Journal on Embedded Systems
Parallel Scalability of Video Decoders
Journal of Signal Processing Systems
Fast and robust face detection on a parallel optimized architecture implemented on FPGA
IEEE Transactions on Circuits and Systems for Video Technology
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Video encoding due to its high processing requirements has been traditionally done using special-purpose hardware. Software solutions have been explored but are considered to be feasible only for nonreal-time applications requiring low encoding rates. However, a software solution using a general-purpose computing system has numerous advantages: it is more available and flexible and allows experimenting with and hence improving various components of the encoder. In this paper, we present the performance of a software video encoder with MPEG-2 quality on various parallel and distributed platforms. The platforms include an Intel Paragon XP/S and an Intel iPSC/860 hypercube parallel computer as well as various networked clusters of workstations. Our encoder is portable across these platforms and uses a data-parallel approach in which parallelism is achieved by distributing each frame across the processors. The encoder is useful for both real-time and nonreal-time applications, and its performance scales according to the available number of processors. In addition, the encoder provides control over various parameters such as the size of the motion search window, buffer management, and bit rate. The performance results include comparisons of execution times, speedups, and frame encoding rates on various systems