동영상 검색을 위한 템포럴 텍스처 모델링

Temporal Texture modeling for Video Retrieval

  • 발행 : 2001.03.01

초록

In the video retrieval system, visual clues of still images and motion information of video are employed as feature vectors. We generate the temporal textures to express the motion information whose properties are simple expression, easy to compute. We make those temporal textures of wavelet coefficients to express motion information, M components. Then, temporal texture feature vectors are extracted using spatial texture feature vectors, i.e. spatial gray-level dependence. Also, motion amount and motion centroid are computed from temporal textures. Motion trajectories provide the most important information for expressing the motion property. In our modeling system, we can extract the main motion trajectory from the temporal textures.

키워드

참고문헌

  1. Ramprasad B. Polana, 'Temporal Texture and Activity Recognition', University of Rochester, Ph.D Thesis, 1994
  2. Marcin Olof Szummer, 'Temporal Texture Modeling', MIT Press, MS Thesis, 1995
  3. Fang Liu, 'Modeling Spatial and Temporal Textures', MIT Press, Ph.D Thesis, 1997
  4. 최정구, '웨이브릿과 제로트리 구조를 이용한 개선된 정지 영상 압축 기법,' 석사학위논문, 이화여자대학교, 1999
  5. 김도년, 조동섭, '동영상 검색을 위한 템포럴 텍스처의 특성 벡터 생성 알고리즘,' 대한전기학회 추계 학술대회 논문집, 2000
  6. 장도임, 김도년, 강민숙, 조동섭, 'Temporal 웨이브릿을 이용한 물체 추적 알고리즘,' 대한 전기학회 하계 학술대회 논문집, vol.G. pp.2843-2845,1999
  7. Richard W. Conners, Charles A. Harlow, 'A Theoretical Comparison of Texture Algorithms,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-2, No.3, pp.204-222, May, 1980
  8. 김도년, '템포럴 웨이브릿 기반 동영상 템포럴 텍스처의 특성 연구,' 박사학위논문, 이화여자대학교, 2001
  9. Emile Sahouria, 'Video indexing based on object motion,' Master's thesis, dept. of electrical engineering and computer science, Univ. of California at Berkeley, May 1997
  10. Kyuwon Lee, Woong-Shik You and Jinwoong Kim, 'Video retrieval based on the object's motion trajectory,' Proc. of visual communications and image processing 2000, pp.114-124, Apr. 2000 https://doi.org/10.1117/12.386558