Video compression with parallel processing
Parallel Computing - Parallel computing in image and video processing
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
Cluster-based optimized parallel video transcoding
Parallel Computing
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Although MPEG-1 Video is a promising and the most widely used moving picture compression standard, it requires a lot of computational resources to encode the moving pictures with a reasonable frame size and quality. In this paper, we propose and implement an efficient parallelizing scheme of MPEG-1 Video encoding algorithm on an Ethernet-connected workstations which is the most widely available computing environment nowadays. In this parallelizing scheme, the slice-level, frame-level, and GOP (Group of Pictures)-level parallelisms are identified as the attractive parallelisms that can be exploited in Ethernet-connected workstations. Three efficient parallel implementation schemes considering the communication characteristics of Ethernet-connected workstations are also proposed and experimented. A series of experiments using thirty workstations shows that the MPEG-1 Video encoding time can be reduced in proportional to the number of workstations used in encoding computations, although there is a saturation point in the speedup graphs.