PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Motion-compensated block-based approach towards video fade detection

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Due to the widespread application of video shot detection in various video processing applications, an accurate shot boundary detection techniques have become an important research topic in the last decade. The video shot can be abrupt one due to camera break or gradual change caused by adding editing effects like fades, dissolves, wipes and morphs. The abrupt shot detection is simple one but detection of gradual change algorithms still not gain the required accuracy. To solve the problem of achieving accurate results to some extent in presence of object and camera motion, we propose a motion compensated blockbased approach specially designed for fade type of gradual change detection.
Twórcy
autor
Bibliografia
  • [1] A. M. Alattar, ”Detecting fade regions in uncompressed video sequences,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1997, pp. 30253028.
  • [2] D. Arijon, Grammar of the film language, Silman-James Press, 1976.
  • [3] Zuzana Cernekov, loannis Pitas, and Christophoros Nikou, “Information Theory-Based Shot cut/Fade Detection and Video Summarization,” IEEE Trans on Circuits and Systems for Video Technology, vol. 16, no.l, January 2006.
  • [4] Mrs.C.A.Dhawale, Sanjeev Jain, “Video Shot Detection using multiple feature experts”,
  • [5] W. A. C. Fernando, C. N. Canagarajah, and D . R. Bull, “Automatic detection of fade in and fade out in video sequences,” in Proc. ISCAS, 1999, vol. 4, pp. 255258.
  • [6] W. A. C. Fernando, C. N. Canagararajah, D. R. Bull, “Fade-in and fade-out detection in video sequences using histograms,” in Proc. ISCAS 2000, vol. 4, pp. 709712.
  • [7] S. J. F. Guimares, M. Couprie, A. de A. Arajo, and N. J. Leite, “Video segmentation based on 2D image analysis,” Pattern Recognit. Lett., vol. 24, no. 7, pp. 947957, Apr. 2003.
  • [8] A. Hampapur, R. Jain, and T. Weymouth, “Digital video segmentation,” in Proc. ACM Multimedia, San Francisco, CA, Oct. 1994, pp. 357364.
  • [9] A. Hanjalic. Shot-boundary detection: Unraveled and resolved? IEEE Transactions on Circuits and Systems for Video Technology, 12(2):90105, February 2002.
  • [10] R. A. Joyce and B. Liu. Temporal segmentation of video using frame and histogram-space. In IEEE International Conference on Image Processing, pages 941944, September 2000.
  • [11] R. Lienhart, “Comparison of automatic shot boundary detection algorithms,” in Proc. SPIE Storage and Retrieval for Image and Video Databases VII, vol. 3656, San Jose, CA, Jan. 1999, pp. 290301
  • [12] R. Lienhart. Reliable transition detection in videos: A survey and a practitioners guide. International Journal of Image and Graphics, 1(3):469486, 2001.
  • [13] H. B. Lu, Y. J. Zhang, and Y. R. Yao. Robust gradual scene change detection. In IEEE International Conference on Image Processing, volume 3, pages 304 308, 1999.
  • [14] G. Lupatini, C. Saraceno, and R. Leonardi. Scene break detection: a comparison. In Int. Workshop on Research Issues in Data Engineering, pages 3441, 1998.
  • [15] J. Meng, Y. Juan, and S.-F. Chang. Scene change detection in a MPEG compressed video sequence. In IS&T/SPIE Symposium Proceedings on Electronic Imaging: Science & Technology, volume 2419, pages 1425, February 1995.
  • [16] J. Nam and A. H. Tewfik, “Dissolve transition detection using B-splines interpolation,” in Proc. IEEE Int. Conf. Multimedia Expo (ICME), Jul. 2000, vol. 3, pp. 13491352.
  • [17] J. H. Park, S. Y. Park, S. J. Rang, and W. H. Cho, “Content-based scene change detection of video sequence using hierarchical hidden Markov model,” in Proc. LNAI, 2003, vol. 2843, pp. 426433.
  • [18] B. Shahraray. Scene change detection and contentbased sampling of video sequences. In SPIE Conference on Digital Video Compression: Algorithms and Technologies, volume 2419, pages 213, February 1995.
  • [19] Ba Tu Truong, “Video genre classification based on shot segmentation,” Honours Thesis, Curtin University of Technology, Western Australia, November 1999.
  • [20] B. T. Truong, C. Dorai, and S. Venkatesh, “New enhancements to cut, fade, and dissolve detection 9 processes in video segmentation,” in ACM Multimedia 2000, Nov. 2000, pp. 219227.
  • [21] Xueming Qian, Guizhong Liu, and Rui Su, “Effective Fades and Flashlight Detection Based on Accumulating Histogram Difference,” IEEE Trans. On Circuits and Systems for Video Technology, vol. 16, no. 10, October 2006.
  • [22] R. Zabih, J. Miller, and K. Mai, “A feature-based algorithm for detecting and classifying scene breaks,” in Proc. ACM Multimedia95, 1995, pp. 189200.
  • [23] R. Zabih, J. Miller, and K. Mai, “A feature-based algorithm for detecting and classification production effects,” Multimedia Syst., vol. 7, pp. 119128, 1999.
  • [24] H. Zhang, A. Kankanhalli, and S.W. Smoliar. Automatic portioning of full-motion video. Multimedia Systems, 1(1):1028, January 1993.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0032-0009
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.