Video compression with parallel processing
Parallel Computing - Parallel computing in image and video processing
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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Many computer applications are currently using digital video. Recent advances in digital imaging and faster networking infrastructure make this technology very popular, not only for entertainment, but also in health and education applications. However, high quality video requires more storage space and communication bandwidth than traditional data. Most of the digital video encoding techniques use a compression scheme to deal with this problem. The MPEG committee has defined widely used standards for digital video encoding providing high quality images and high compression rates. However, real-time video encoding also demands high computational power, usually far beyond traditional sequential computers can provide. Fortunately, the algorithms compliant to the MPEG standard can be parallelized. In this work, we propose a novel and simple shared-memory parallel algorithm for MPEG-1 video encoding based on the simultaneous execution of different coarse grained tasks (read pictures, write coded frames, I, P, and B frames coding). Two synchronization strategies are implemented and experimental results show that encoding rates of 43 frames per second are achieved, which is almost 50% better than the real-time encoding standard rate (30 frames per second)