Graphics Multimedia

Advances in Image And Video Segmentation by Yu-jin Zhang

By Yu-jin Zhang

Photo and video segmentation is without doubt one of the most crucial projects of photograph and video research: extracting info from a picture or a chain of pictures. within the final forty years, this box has skilled major development and improvement, and has led to a digital explosion of released info. Advances in photograph and Video Segmentation brings jointly the newest effects from researchers eager about cutting-edge paintings in snapshot and video segmentation, offering a suite of contemporary works made by means of greater than 50 specialists worldwide.

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Deformable Template The deformable template is defined as a Bayesian graphical model, composed by a shape prior and an imaging model. The shape prior is a graphical model describing probabilistically the allowed shape configurations, and the imaging model describes how any configuration appears in a greyscale image. Given an image, this Bayesian model assigns a posterior probability to each possible configuration. We will see later how to use an inference algorithm based on BP for finding the most likely configuration.

Energy plots for jump-diffusion for MCMCII (thin curve) and MCMCIII (left). 000 steps (center). 000 steps (right). 05 step Source: copyright IEEE 2004 Figure 4. Jump-diffusion algorithm for region segmentation (1D problem). The variable “jump” registers the occurrence of a jumping event which follows a Poisson distribution (Equation 26). JUPM-DIFFUSION ALGORITHM: MCMCII-III INITIALIZE W randomly, temperature T ← T0 , t = 0 ; WHILE ( T > TFINAL ) OR (convergence) WHILE NOT (jump) Diffusion for all change points xi : Eq.

B. (2002b). A hierarchical organization scheme for video data. Pattern Recognition, 35(11), 2381-2387. Zhang, Y. , & Luo, H. T. (2000). Optimal selection of segmentation algorithms based on performance evaluation. Optical Engineering, 39(6), 1450-1456. Zucker, S. W. (1976). Region growing: Childhood and adolescence. CGIP, 5, 382-399. Zucker, S. W. (1977). Algorithms for image segmentation. In Digital image processing and analysis (pp. 169-183). Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc.

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