Motion Analysis and Image Sequence Processing
M. Ibrahim Sezan, Reginald L. Lagendijk
Springer US, Mar 31, 1993 - Technology & Engineering - 489 pages
An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".
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An Estimation Theoretic Perspective on Image Processing
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accuracy adaptive analysis applications approach bilinear interpolation bit rate block matching blur camera CCMF codebook coder coding scheme coefficients components computational constraint corresponding decoder depth map described displacement displacement vector edge based edge detection encoding equation estimated motion facial flow field frequency function global motion compensated global motion estimation HDTV IEEE Trans image plane image sequence input interframe iterative Kalman filter lattice linear luminance matrix MCMF median filters method model-based motion compensated interpolation motion compensated prediction motion estimation motion field motion information motion parameters motion trajectory motion vectors moving objects noise obtained operations optical flow performance pixel prediction error predictors problem Proc reconstructed regions resolution rotation scene segmentation shown in Figure Signal Processing single-frame spatial spatiotemporal structure sub-Nyquist sampling subband subsampling techniques temporal three-dimensional translation update vector quantization velocity video compression video signal Wiener filter wire frame model
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