利用fpga计算视频帧间相似度的两种直方图电路

S. Geninatti, E. Boemo
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引用次数: 0

摘要

本文介绍了用fpga计算亮度直方图的两种硬件方案。第一个电路广泛使用了许多FPGA模型中存在的嵌入式RAM块。第二种选择是一个并行结构的累加器,可以很容易地适应任何输入总线宽度。在直方图计算过程中,每个处理过的像素增加对应于其亮度水平的寄存器值。因此,如果同时计算多个像素,当更新特定亮度寄存器超过一个像素时,可能会产生写入冲突。在这两种提出的体系结构中,消除了这些碰撞问题。直接从压缩视频的直流系数进行计算。这一事实最大限度地减少了每帧的数据带宽,允许快速确定相似性。所提出的直方图电路是基于fpga的自定义处理器的一部分,通过交叉相关直方图来计算两个视频帧之间的相似性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Proposal of Two Histogram Circuits to Calculate Similarities between Video Frames Using FPGAs
This paper describes two hardware schemes for calculating luminosity histograms using FPGAs. The first circuit makes extensive use of the embedded RAM blocks present in many FPGA models. The second alternative is a parallel structure of accomulators that can be easyly adapted to any input bus width. During the histogram computation, each processed pixel increments the value of the register corresponding to its luminance level. Therefore, if several pixels are evaluated at the same time, writing conflicts can be generated when a specific luminosity register is updated by more than one pixel. In the two proposed architectures these collision problems are eliminated. The calculation is made directly from the DC coefficients of the compressed video. This fact minimizes data bandwidth per frame, allowing a fast determination of similarity. The presented histogram circuits are part of an FPGA-based custom processor to calculate the similarity between two video frames by cross-correlating their histograms.
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