Adaptive two-step adjustable partial distortion search algorithm for motion estimation

Kim, Yonghoon; Lee, Dokyung; Jeong, Jechang

doi:10.1007/978-3-642-24028-7_14

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Adaptive two-step adjustable partial distortion search algorithm for motion estimation

Kim, Yonghoon;
Lee, Dokyung;
Jeong, Jechang

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초록

Motion estimation is widely used in video coding schemes, because it enables the transmission and storage of video signals within lower bit rate. A full search (FS) algorithm is optimal method of motion estimation, but it is suffers from high computational complexity. To reduce the complexity various methods are proposed. Recently, two-step edge based partial distortion search algorithm (TS-EPDS) is introduced, and it shows about 100 times faster than FS without PSNR degradation. In this paper, we proposed adaptive two-step adjustable partial distortion search algorithm, and it is 200 times faster than FS with negligible PSNR decrease. The proposed algorithm is suitable for real time implementation of high quality digital video application.

키워드

Adjustable partial distortion search; Bit rates; Digital video applications; Edge-based; Full search algorithm; High quality; Optimal methods; Partial distortion search algorithms; Real-time implementations; Video coding schemes; Video signal; Computational complexity; Computer graphics; Estimation; Image coding; Learning algorithms; Multimedia systems; Video signal processing; Motion estimation

제목: Adaptive two-step adjustable partial distortion search algorithm for motion estimation

저자: Kim, Yonghoon; Lee, Dokyung; Jeong, Jechang

DOI: 10.1007/978-3-642-24028-7_14

발행일: 2011-09

유형: Conference Paper

저널명: Lecture Notes in Computer Science

권: 6938 LNCS

호: PART 1

페이지: 147 ~ 155