서지주요정보
결합 유사 척도를 이용한 동영상 분할 및 영역 정보의 적응적 근사화 방안 = Dynamic scene segmentation using a combined similarity criterion and adaptive shape approximation method
서명 / 저자 결합 유사 척도를 이용한 동영상 분할 및 영역 정보의 적응적 근사화 방안 = Dynamic scene segmentation using a combined similarity criterion and adaptive shape approximation method / 이시웅.
저자명 이시웅 ; Lee, Si-Woong
발행사항 [대전 : 한국과학기술원, 1997].
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소장정보

등록번호

8008208

소장위치/청구기호

학술문화관(문화관) 보존서고

DEE 97046

SMS전송

도서상태

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초록정보

The segmentation-based image compression technique is expected to be one of the influential methods to overcome the defects of conventional block-based approach in low-bit rates. The main research items in this area are largely classified into two categories. One is to develop an efficient scene segmentation method, and the other is to provide coding tools to reduce region information. This dissertation is devoted to these topics including an image segmentation using a new similarity criterion and a relative shape approximation method for shape parameters coding. First, an image segmentation algorithm which divides a scene into homogeneous local regions is investigated. Based on the observation that the conventional criterion considering motion or intensity homogeneity alone leads to partially incorrect results, the structure combining these two effects in a single segmentation procedure is presented. The actual segmentation is accomplished using the region growing technique based on watershed algorithm. It comprises processes of extracting the initial regions called seeds and their growing by merging similar neighbor pixels. Simulation results show that the proposed method is effective in determining object boundaries not easily found using static or dynamic criterion alone. Secondly, a tracking technique is presented to make a coherent segmentation through time. Typical image sequences are greatly correlated between adjacent frames. Thus, coherent segmentation through frames is essential to achieve high compression rate by the elimination of the temporal redundancy. For this purpose, a tracking algorithm that comprises new object detection, temporal projection, and boundary readjustment processes is presented. It is examined that the proposed method solves the temporal coherency and region correspondence problems through some simulations. Finally, an adaptive approximation method of contour signal generated by the region-based segmentation is presented. The method approximates contour with polygons using variable $d_{max}$ determined by contrast of regions. By the method, the high contrast part of contour is accurately represented while saving vertices in the low contrast part. Using this scheme, the texture error caused in the error region can be reduced by about 10-30% compared to the conventional one.

서지기타정보

서지기타정보
청구기호 {DEE 97046
형태사항 x, 112 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Si-Woong Lee
지도교수의 한글표기 : 김성대
지도교수의 영문표기 : Seong-Dae Kim
수록잡지명 : "Motion field segmentation under the 3-D movement of rigid planar patches". IEICE. The institute of electronics, information and engineers, vol. E78-A, no.12, pp.1890-1894 (1995)
수록잡지명 : "Scene segmentation using a combined criterion of motion and intensity". Optical engineering. The International society for optical engineering, to be published on Aug. 97. (1997)
학위논문 학위논문(박사) - 한국과학기술원 : 전기및전자공학과,
서지주기 참고문헌 : p. 107-112
주제 영상 분할
유사 척도
시간축 추적
영역 근사화
Image segmentation
Similarity criterion
Temporal tracking
Shape approximation
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