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Memory efficient FPGA implementation of motion and disparity estimation for the multiview video coding

机译:用于多视图视频编码的运动和视差估计的内存高效FPGA实现

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This paper presents a high throughput and low off-chip memory bandwidth Motion and Disparity Estimation architecture targeting the Multiview Video Coding requirements. The ME and DE modules are the critical paths in the multiview encoding process, corresponding to up to 80% of the encoding time. Besides, these two modules are responsible for more than 70% of the off-chip memory accesses. The goal of this work is to design a hardware architecture that deals with these two constraints. The design space exploration points the best balance between area and throughput. Besides, the Memory Hierarchy allows a reduction of 87% for memory accesses when compared to a solution without memory management. The synthesis results for the FPGA implementation show that the ME/DE architecture is able to process up to 5-view HD 1080p multiview videos in real time in a typical prediction structure with 2 reference frames (temporal and disparity neighbors). When compared to related works, this work presents the best efficiency in terms of off-chip memory access and maximum throughput at this data input.
机译:本文提出了针对多视图视频编码要求的高吞吐量和低片外存储器带宽运动与视差估计架构。 ME和DE模块是多视图编码过程中的关键路径,相当于最多80%的编码时间。此外,这两个模块负责超过70%的片外存储器访问。这项工作的目的是设计一种可以解决这两个限制的硬件体系结构。设计空间探索指出了面积和吞吐量之间的最佳平衡。此外,与没有内存管理的解决方案相比,内存层次结构可将内存访问量减少87%。 FPGA实现的综合结果表明,ME / DE架构能够在具有2个参考帧(时间和视差邻居)的典型预测结构中实时处理多达5个视图的高清1080p多视图视频。与相关工作相比,此工作在片外存储器访问和此数据输入的最大吞吐量方面表现出最佳效率。

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