期刊论文详细信息
International Journal of Information Technology
Hardware Implementation of Local Binary Pattern Based Two-Bit Transform Motion Estimation
Seda Yavuz ; Anıl Çelebi ; Aysun Taşyapı Çelebi ; Oğuzhan Urhan
关键词: Binarization;    hardware architecture;    local binary pattern;    motion estimation;    two-bit transform.;   
DOI  :  10.1999/1307-6892/10008428
学科分类:计算机应用
来源: World Academy of Science, Engineering and Technology (W A S E T)
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【 摘 要 】

Nowadays, demand for using real-time video transmission capable devices is ever-increasing. So, high resolution videos have made efficient video compression techniques an essential component for capturing and transmitting video data. Motion estimation has a critical role in encoding raw video. Hence, various motion estimation methods are introduced to efficiently compress the video. Low bit‑depth representation based motion estimation methods facilitate computation of matching criteria and thus, provide small hardware footprint. In this paper, a hardware implementation of a two-bit transformation based low-complexity motion estimation method using local binary pattern approach is proposed. Image frames are represented in two-bit depth instead of full-depth by making use of the local binary pattern as a binarization approach and the binarization part of the hardware architecture is explained in detail. Experimental results demonstrate the difference between the proposed hardware architecture and the architectures of well-known low-complexity motion estimation methods in terms of important aspects such as resource utilization, energy and power consumption.

【 授权许可】

Unknown   

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