8 June 2012 Low-complexity block-based motion estimation algorithm using adaptive search range adjustment
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Abstract
We propose an adaptive search range adjustment algorithm that is particularly suitable for low-bit-depth motion estimation approaches. Typical low-bit-depth motion estimation approaches, such as one-bit transform (1BT), two-bit transform (2BT), and truncated gray-coded bit-plane matching (TGCBM), perform a full search with low-bit expression. We propose combining a search-range adjustment, which can be predicted by using motion vector information of the reference frame and the existing bit-wise matching methods, such as 1BT, 2BT, and TGCBM. Combining this proposed algorithm and low-bit expression enhances both motion estimation accuracy and time consumption. Experimental results show that low-bit-depth motion estimation approaches using this proposed algorithm have an outstanding performance compared with those without the proposed algorithm both in motion estimation accuracy and time consumption.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Ilseung Kim, Joohyeok Kim, Jechang Jeong, Gwanggil Jeon, "Low-complexity block-based motion estimation algorithm using adaptive search range adjustment," Optical Engineering 51(6), 067010 (8 June 2012). https://doi.org/10.1117/1.OE.51.6.067010 . Submission:
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