Design and Implementation of a Data-Driven Parallel Video Codec
Xianwei Rong
Abstract
Xianwei Rong
Abstract
Generic video codec systems are based upon standard compression algorithms such as MPEG4 and H.264. Since these standard algorithms include high-complexity computation like discrete cosine transform and motion estimation, they are generally implemented by hardware-based methods for real-time applications. However, such kinds of codec systems endure long-period implementation, expensive spending and poor flexibility because they are hardwired. This paper introduces a data-driven parallel video codec system that uses a low-complexity Adaptive Block Truncation-Coding (ABTC) scheme. The efficiency of the codec system introduced is confirmed using standard video sequences.
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Generic video codec systems are based upon standard compression algorithms such as MPEG4 and H.264. Since these standard algorithms include high-complexity computation like discrete cosine transform and motion estimation, they are generally implemented by hardware-based methods for real-time applications. However, such kinds of codec systems endure long-period implementation, expensive spending and poor flexibility because they are hardwired. This paper introduces a data-driven parallel video codec system that uses a low-complexity Adaptive Block Truncation-Coding (ABTC) scheme. The efficiency of the codec system introduced is confirmed using standard video sequences.
Key concepts: Computer science, Codec, Discrete cosine transform, Data compression, Computer hardware, Adaptive Multi-Rate audio codec, Motion estimation, Block (permutation group theory)