Real-time motion estimation for image and video processing applications

被引：12

作者：

Botella, Guillermo ^{[1
]}

Garcia, Carlos ^{[1
]}

机构：

[1] Univ Complutense Madrid, Dept Comp Architecture & Automat, Ciudad Univ S-N, E-28040 Madrid, Spain

来源：

JOURNAL OF REAL-TIME IMAGE PROCESSING | 2016年 / 11卷 / 04期

关键词：

Motion estimation; Optical flow; Image processing; Video coding; FPGA; GPGPU; DSP; ASIC; Embedded systems; ALGORITHM; ACCELERATION;

D O I：

10.1007/s11554-014-0478-y

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This contribution focuses on different topics that are covered by the special issue titled "Real-Time Motion Estimation for image and video processing applications" and which incorporate GPUS, FPGAs, VLSI systems, DSPs, and Multicores, among other platforms. The guest editors have solicited original contributions, which address a wide range of theoretical and practical issues related to high-performance motion estimation image processing including, but not limited to: real-time matching motion estimation systems, real-time energy-based motion estimation systems, gradient-based motion estimation systems, optical flow estimation systems, color motion estimation systems, multi-scale motion estimation systems, optical flow and motion estimation systems, analysis or comparison of specialized architectures for motion estimation systems and real-world applications.

引用

页码：625 / 631

页数：7

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