Video compression is a compute intensive task that requires large processing capabilities. Various compression schemes exist for different communication channels. In particular, A SIMD processor architecture was developed for real time video compression of a 640 x 480 image at 30fps for transmission over a low bandwidth (12Mbps) channel. Low power video compression is particularly important for “mobile” or “portable” communications. By developing an algorithm for low power video compression, it was also possible to design the system small enough to embed into a CMOS image sensor. The compression engine implements a modified form of vector quantization that significantly reduces computation time. The hardware was designed to be pitch matched to a CMOS image sensor and to demonstrate low power processing capability. The chip was fabricated using 0.6um CMOS technology. It demonstrates efficient integration of parallel processing elements and a novel memory architecture that allows a variety of image processing tasks. In particular, the processor architecture is capable of performing real-time video compression of 640 x 480 color image at 30frames/sec, dissipating 40mW at 2.5V with 10MHz clock.
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机译:视频压缩是一项需要大量处理能力的计算密集型任务。存在用于不同通信信道的各种压缩方案。特别是,开发了一种SIMD处理器体系结构,用于以30fps的速率对640 x 480图像进行实时视频压缩,以通过低带宽(<12Mbps)通道进行传输。低功耗视频压缩对于“移动”或“便携式”通信尤为重要。通过开发低功耗视频压缩算法,还可以将系统设计得足够小,以嵌入到CMOS图像传感器中。压缩引擎实现了矢量量化的改进形式,大大减少了计算时间。该硬件被设计为与CMOS图像传感器进行间距匹配,并展示出低功耗处理能力。该芯片是使用0.6um CMOS技术制造的。它演示了并行处理元素和新颖的内存体系结构的有效集成,该体系结构允许执行各种图像处理任务。特别是,该处理器体系结构能够以30帧/秒的速度执行640 x 480彩色图像的实时视频压缩,并以10MHz时钟在2.5V时耗散40mW。
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