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" Image sequence processing and dynamic scene analysis "
edited by T.S. Huang.
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BL
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| Record Number
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754275
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b574237
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| Main Entry
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edited by T.S. Huang.
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| Title & Author
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Image sequence processing and dynamic scene analysis\ edited by T.S. Huang.
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| Publication Statement
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Berlin ; New York : Springer, 1983
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| Series Statement
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NATO ASI series., Series F,, Computer and system sciences ;, no. 2.
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| Page. NO
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(ix, 749 pages) : illustrations
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| ISBN
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3642819354
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: 9783642819353
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| Contents
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I Overview --; Overview on Image Sequence Analysis --; Dynamic Scene Analysis --; II Image Sequence Coding --; Recursive Motion Compensation: A Review --; The Differential Method for Image Motion Estimation --; Edges in Visual Scenes and Sequences: Application to Filtering, Sampling and Adaptive DPCM Coding --; Movement-Compensated Interframe Prediction for NTSC Color TV Signals --; Coding of Colour TV Signals with 34 MBit/s Transmission Rate --; Analysis of Different Displacement Estimation Algorithms for Digital Television Signals --; An Adaptive Gradient Approach to Displacement Estimation --; Motion Parameter Estimation in TV-Pictures --; Image Sequence Coding Using Scene Analysis and Spatio-Temporal Interpolation --; Two Motion Adaptive Interframe Coding Techniques for Air to Ground Video Signals --; Motion Estimation in a Sequence of Television Pictures --; Comparative Study Between Intra- and Inter-Frame Prediction Schemes --; A Narrow-Band Video Communication System for the Transmission of Sign Language Over Ordinary Telephone Lines --; Classification and Block Coding of the Frame Difference Signal --; Histograms of Image Sequence Spectra --; III Scene Analysis and Industrial Applications --; Determining 3-D Motion and Structure of a Rigid Body Using Straight Line Correspondences --; Comparison of Feature Operators for use in Matching Image Pairs --; Displacement Estimation for Objects on Moving Backgroud --; Linear Filtering in Image Sequences --; Photometric Stereo For Moving Objects --; On the Selection of Critical Points and Local Curvature Extrema of Region Boundaries for Interframe Matching --; Image Segmentation Considering Properties of the Human Visual System --; A Fast Edge Detection Algorithm Matching Visual Contour Perception --; Image Sequence Analysis for Target Tracking --; Track Acquisition of Sub-Pixel Targets --; A Pre-Processor for the Real-Time Interpretation of Dynamic Scenes --; Control of an Unstable Plant by Computer Vision --; Real-time Processing of Rasterscan Images --; 3-D Kalman Filtering of Image Sequences --; Atmospheric Disturbances Tracking in Satellite Images --; Aspects of Dynamic Scene Analysis in Meteorology --; IV Biomedical Applications --; Processing and Analysis of Radiographic Image Sequences --; Image Sequence Processing and Pattern Recognition of Biomedical Pictures --; A Rule-Based System for Characterizing Blood Cell Motion --; Three Dimensional Imaging from Computed Tomograms --; Model Based Analysis of Scintigraphic Image Sequences of the Human Heart.
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| Abstract
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This volume contains the proceedings of the NATO Advanced Study Institute on "Image Sequence Processing and Dynamic Scene Analysis" held 21 June - 2 July, 1982 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The organizing eommittee of the institute consists of T.S. Huang (Director), H.G. Musmann (Co Director), H.H. Nagel (Consultant), and C.E. Liedtke and W. Geuen (Local 'arrangement). This Institute was devoted to the rapidly emerging field of image sequence processing and dynamic scene analysis which has man! important applications in cluding target tracking, television bandwidth compression, highway traffic moni toring, and analysis of heart wall motion for medical diagnosis. The lectures and discussions in this Institute fell into three overlapping categories: Motion estimation; pattern recognition and artificial intelligence techniques in dynamic scene analysis; and, applications. 1) Motion estimation - One of the most important problems in image sequence analysis and dynamic scene analysis is displacement and motion estimation. For example, in interframe coding using temporal DPCM, displacement estimation and compensation can improve efficiency significantly. Also, estimated motion parameters can be powerful cues in target segmentation, detection, and classification. In this Institute, a number of recently developed techniques for displacement and motion estimation were discussed.
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| Subject
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Image processing -- Congresses.
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Infographie -- Congrès.
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Traitement d'images -- Congrès.
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| Added Entry
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North Atlantic Treaty Organization. Scientific Affairs Division.
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Thomas S Huang
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