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High-Performance Motion Estimation for Image Sensors with Video Compression

机译:具有视频压缩功能的图像传感器的高性能运动估计

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摘要

It is important to reduce the time cost of video compression for image sensors in video sensor network. Motion estimation (ME) is the most time-consuming part in video compression. Previous work on ME exploited intra-frame data reuse in a reference frame to improve the time efficiency but neglected inter-frame data reuse. We propose a novel inter-frame data reuse scheme which can exploit both intra-frame and inter-frame data reuse for ME in video compression (VC-ME). Pixels of reconstructed frames are kept on-chip until they are used by the next current frame to avoid off-chip memory access. On-chip buffers with smart schedules of data access are designed to perform the new data reuse scheme. Three levels of the proposed inter-frame data reuse scheme are presented and analyzed. They give different choices with tradeoff between off-chip bandwidth requirement and on-chip memory size. All three levels have better data reuse efficiency than their intra-frame counterparts, so off-chip memory traffic is reduced effectively. Comparing the new inter-frame data reuse scheme with the traditional intra-frame data reuse scheme, the memory traffic can be reduced by 50% for VC-ME.
机译:重要的是减少视频传感器网络中图像传感器的视频压缩时间成本。运动估计(ME)是视频压缩中最耗时的部分。先前关于ME的工作在参考帧中利用帧内数据重用来提高时间效率,但忽略了帧间数据重用。我们提出了一种新颖的帧间数据重用方案,该方案可以利用视频压缩(VC-ME)中ME的帧内和帧间数据重用。重建帧的像素保持在芯片上,直到下一个当前帧使用它们为止,以避免片外存储器访问。具有智能数据访问时间表的片上缓冲器旨在执行新的数据重用方案。提出并分析了提出的帧间数据重用方案的三个层次。它们在片外带宽需求和片内存储器大小之间进行权衡,给出了不同的选择。这三个级别的数据重用效率均高于其帧内同类数据,因此有效降低了片外存储器流量。将新的帧间数据重用方案与传统的帧内数据重用方案进行比较,可以将VC-ME的内存流量减少50%。

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