์ต๊ทผ ์์์์คํ
ํ๊ฒฝ์ 2D ๋น๋์ค์นด๋ฉ๋ผ์ ๊น์ด ์นด๋ฉ๋ผ๊ฐ ๋ถ์ฐฉ๋์ด 2D ๋ฐ 3D ์ดํ๋ฆฌ์ผ์ด์
์ ์ง์ํ๋ ํํ๋ก ๋ณดํธํ ๋๊ณ ์๋ค. ์ด๋ฌํ 3์ฐจ์ ๋ฉํฐ๋ฏธ๋์ด ์์คํ
ํ๊ฒฝ์ผ๋ก์ ๋ณํ๋ ๋น๋์ค ์์คํ
์์ ๊น์ด์ ๋ณด ํ๋์ ์ฉ์ดํ๊ฒ ๋ง๋ค์๋ค. ๊น์ด์ ๋ณด๋ ๊ฐ์ฒด ๊ตฌ๋ถ, ๋ฐฐ๊ฒฝ์์ญ ์ธ์ง ๋ฑ์ ์ด์ฉํ ์ ์๋๋ฐ, 2D ๋ถํธํ์ ์ด๋ฅผ ์ด์ฉํ๋ค๋ฉด ๋์ ๋ถํธํ ํจ์จ์ ์ป์ ์ ์๋ค. ๋ฐ๋ผ์, ๋ณธ ๋
ผ๋ฌธ์์๋ ์ฐจ์ธ๋ 2D ๋น๋์ค ์ฝ๋ฑ์ธ HEVC ์ธ์ฝ๋์ ๋ฐ์ํ ๊น์ด์ ๋ณด ์ด์ฉ ๋น๋์ค ๋ถํธํ ๋ฐฉ๋ฒ์ ์ ์ํ๋ค. ์ ์๋ฐฉ๋ฒ์ผ๋ก, ํ์ฌ ๋ถํธํํ๋ ค๋ CU๊ฐ ๋ฐฐ๊ฒฝ์์ญ์ ์์นํ ๊ฒฝ์ฐ 1) ์ฃผ๋ณ๋ธ๋ก์ SKIP ๋ชจ๋๋ฅผ ์ฐธ์กฐํ์ฌ ๊ฒฐ์ ํ๋ CU ๋ถํ ์กฐ๊ธฐ ๊ฒฐ์ , 2) ์๊ฐ์ ์์น์ CU ์ ๋ณด๋ฅผ ์ด์ฉํ์ฌ ์ํํ๋ CU ๋ถํ ๊ตฌ์กฐ ์ ํ, 3) ๋ฐฐ๊ฒฝ์์ญ์ ๋ฐ๋ฅธ ์์ง์ ์์ธก ํ์ ๋ฒ์ ์ ํ์ด ์๋ค. ์คํ์ HEVC ์ฐธ์กฐ ์ํํธ์จ์ด์ธ HM 12.0์ ์ ์ฉํ์๊ณ , ์คํ๊ฒฐ๊ณผ 40% ์ด์์ ๋ถํธํ ๋ณต์ก๋๊ฐ ๊ฐ์ํ์ผ๋ฉฐ, BD-Bitrate๋ 0.5% ์์ค๋์๋ค. ํนํ, ๋ง์ดํฌ๋ก์ํํธ์ฌ์์ ๊ฐ๋ฐํ ํค๋ฅํธ๋ฅผ ํตํด ํ๋ํ ์์์ ์ด์ฉํ ์คํ ๊ฒฐ๊ณผ์์๋ ์์ ํ์ง์ ํฐ ์ดํ ์์ด ๊ธฐ์กด๋๋น ์ต๋ 53%์ ๋ถํธํ ๋ณต์ก๋๊ฐ ๊ฐ์ํ๋ ๊ฒฐ๊ณผ๋ฅผ ๋ํ๋ด์ด, ํฅํ ์ค์๊ฐ ํ์ํต์ , ๋ชจ๋ฐ์ผ ๋๋ ํธ๋ํฌ๋ ํ๊ฒฝ์์์ ๋น๋์ค ์๋น์ค ๋ฑ์์ ๊ด๋ฒ์ํ๊ฒ ์ ์ฉํ ์ ์์ ๊ฒ์ผ๋ก ๊ธฐ๋๋๋ค. Many of today's video systems have additional depth camera to provide extra features such as 3D support. Thanks to these changes made in multimedia system, it is now much easier to obtain depth information of the video. Depth information can be used in various areas such as object classification, background area recognition, and so on. With depth information, we can achieve even higher coding efficiency compared to only using conventional method. Thus, in this paper, we propose the 2D video coding algorithm which uses depth information on top of the next generation 2D video codec HEVC. Background area can be recognized with depth information and by performing HEVC with it, coding complexity can be reduced. If current CU is background area, we propose the following three methods, 1) Earlier stop split structure of CU with PU SKIP mode, 2) Limiting split structure of CU with CU information in temporal position, 3) Limiting the range of motion searching. We implement our proposal using HEVC HM 12.0 reference software. With these methods results shows that encoding complexity is reduced more than 40% with only 0.5% BD-Bitrate loss. Especially, in case of video acquired through the Kinect developed by Microsoft Corp., encoding complexity is reduced by max 53% without a loss of quality. So, it is expected that these techniques can apply real-time online communication, mobile or handheld video service and so on.