서지주요정보
동영상 압축을 위한 점진형 이동모형에 근거한 계층적 움직임 추정 기법 = Hierarchical motion estimation baseds on progressive motion model for video compression
서명 / 저자 동영상 압축을 위한 점진형 이동모형에 근거한 계층적 움직임 추정 기법 = Hierarchical motion estimation baseds on progressive motion model for video compression / 문주희.
저자명 문주희 ; Moon, Joo-Hee
발행사항 [대전 : 한국과학기술원, 1992].
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8003228

소장위치/청구기호

학술문화관(문화관) 보존서고

DEE 92032

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For low bit rate video codec, many coding algorithms using translational block-motion estimation and compensation have been developed. Accurate motion estimation of moving object is the key process of the object oriented low-rate coding of video image. In this thesis, a hierarchical motion estimation method based in an approximate and progressive motion model is proposed for the motions of two-dimensional planar object and of head-and-shoulder type real image. First, three kinds of approximate 2-dimensional motion models are analyzed and compared with respect to accuracy and robustness. The motion description parameters of each model are 6, 4, and 2, respectively. It is shown that the choice of model is to depend on object size, and the type of motion. Second, a hierarchical motion estimation algorithm based on a progressive motion model is investigated. The algorithm has three hierarchies of different motion models. It starts with the 6-parameter motion model for whole object, and then locally and progressively adjusts with 4 and 2 parameter models. It is shown that the proposed algorithm estimates somewhat more natural and accurate motion vector field than the conventional hierarchical block matching algorithm(HBMA) in a test image sequence. Finally, as an application, the proposed algorithm is applied for image prediction in object-oriented analysis-synthesis coder. It is shown that the proposed algorithm reconstructs more natural images than the conventional HBMA. Furthermore, the required number of bits for motion information is much smaller than other methods, by about 700 bits/frame in average.

서지기타정보

서지기타정보
청구기호 {DEE 92032
형태사항 v, 140 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 수록
저자명의 영문표기 : Joo-Hee Moon
지도교수의 한글표기 : 김재균
지도교수의 영문표기 : Jae-Kyoon Kim
학위논문 학위논문(박사) - 한국과학기술원 : 전기및전자공학과,
서지주기 참고문헌 : p. 138-140
주제 Data compression (Computer science)
Coding theory.
Video compression.
화상 처리. --과학기술용어시소러스
화상 압축. --과학기술용어시소러스
부호 이론. --과학기술용어시소러스
동화상. --과학기술용어시소러스
상태 추정. --과학기술용어시소러스
Image processing.
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