Reference: | [1] Dufaux, F. and Konrad, J., “Efficient, robust, and fast global motion estimation for video coding,” IEEE Trans. Image Processing, Vol. 9, No. 3, , pp. 497 – 501, Mar. 2000. [2] Wang Y. A. and Edward H. A., “Spatio-temporal segmentation of video data,” in Proc. SPIE, Image and Video Processing II, Vol. 2182, Feb. 1994. [3] Daniel D., David D., “Video retrieval using spatio-temporal descriptors,” in Proc. ACM Conf. on Multimedia, pp. 508 – 517, Nov. 2003. [4] Del B., A., Pala, P., Tanganelli, L., “Video retrieval based on dynamics of color flows,” in Proc. Int. Conf. Pattern Recognition, Vol. 1, pp. 851 – 854, Sept. 2000. [5] Nummiaro K., Koller-Meier E. and Van G. L., “Color features for tracking non-rigid objects,” Special Issue on Visual Surveillance, Chinese Journal of Automation, Vol. 29, No. 3, pp 345-355, May 2003. [6] Forsyth D. A. and Ponce J., “Computer vision: A modern approach,” Pearson Education, part I-part IV, 2003. [7] Dufaux, F. and Moscheni, F., “Motion estimation techniques for digital TV: A review and a new contribution,” in Proc. IEEE, vol.83, pp.858-879, Jun. 1995. [8] Tse Y. T. and Baker R. L., “Global zoom/pan estimation and compensation for video compression,” in IEEE Proc. ICASSP’91, vol. IV, pp.2725-2728, May 1991. [9] Moscheni, F., Dufaux, F. and Kunt, M., “A new two-stage motion estimation based on a background/foreground segmentation,” in IEEE Proc. ICASSP’95, pp. 2261-2264, Detroit, MI, May 1995. [10] Ebrahimi T., “MPEG-4 video verification model: A video encoding/decoding algorithm based on content representation,” Signal Proc. Image Communication 9, No. 4, pp. 367-384, May 1997. [11] Sikora T., “The MPEG-4 video standard verification model,” IEEE Trans. CSVT, Vol.7, No.1, Feb. 1997. [12] Gonzalez R. C. and Woods R. E., “Digital image processing,” Prentice Hall, chapter7, pp.349-403, 2001. [13] Grigoriu, L., “Spatio-temporal compression of the motion field in video coding,” IEEE Workshop on Multimedia Signal Proc., pp. 129 – 134, Oct. 2001. [14] Lai-Man P. and Wing-Chung M., “A novel four-step search algorithm for fast block motion estimation,” IEEE Trans. CSVT, Vol. 6, No. 3, pp. 313-317, Jun. 1996. [15] Richard S., “Image Mosaicing for tele-reality applications,” Cambridge Research Laboratory Technical Report Series, May 1994. [16] Deng Y. and Manjunath B. S., “Content-based search of video using color, texture and motion,” in Proc. IEEE Int. Conf. Image Processing, volume 2, pp. 534–537, 1997. [17] Belongie S., Carson C., Greenspan H. and Malik J., “Color and texture-based image segmentation using em and its application to content based image retrieval,” in Proc. of Int. Conf. on Computer Vision, pp. 675-682, 1998. [18] Greenspan H. and Goldberger J., “Probabilistic space-time video modeling via piecewise GMM,” IEEE Pattern Analysis and Machine Intelligence, vol. 26, no. 3, 2004. [19] Memin E. and Perez P., “Dense estimation and object-based segmentation of the optical flow with robust techniques,” IEEE Trans. Image Processing, Vol. 7, No. 5, pp. 703 – 719, May 1998. [20] Eric B. and St´ephane M., “Nonlinear temporal modeling for motion-based video overviewing,” in Proc. European Conf. on Content-based Multimedia Indexing, Sept., 2003. [21] Ianeva T., Vries A. P. de and Westerveld. T., “A dynamic probabilistic retrieval model,” IEEE Int. Conf. on Multimedia and Expo (ICME), 2004. [22] Cheung, S.-C.S. and Zakhor A., “Video similarity detection with video signature clustering,” in Proc. of International Conf. on Image Processing, Vol. 2, pp. 649 – 652, Oct. 2001. [23] Bregler C., “Learning and recognizing human dynamics in video sequences,” in IEEE CVPR, June 1997. |