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Author:   Alok N. Choudary ,  J.H. Patel
Publisher:   Springer
Imprint:   Springer
Edition:   1990 ed.
Volume:   108
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.960kg
ISBN:  

9780792390787

ISBN 10:   0792390784
Pages:   158
Publication Date:   30 September 1990
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Introduction.- 1.1. Computational Complexities in Vision.- 1.2. Review of Multiprocessor Architectures.- 1.2. Organization.- 2. Model of Computation.- 2.1. Parallelism in IVSs.- 2.2. Data Dependencies.- 2.3. Features and Capabilities of Parallel Architectures for IVSs.- 2.4. Examples of Integrated Vision Systems.- 3. Architecture of NETRA.- 3.1. Processor Clusters.- 3.2. The DSP Hierarchy.- 3.3. Global Memory.- 3.4. Global Interconnection.- 3.5. IVS Computation Requirements and NETRA.- 3.6. Comparison of NETRA with Other Architectures.- 4. Parallel Algorithms on a Cluster.- 4.1. Classification of Common Vision Algorithms.- 4.2. Issues in Mapping an Algorithm.- 4.3. Performance Evaluation of Parallel Algorithms.- 4.4. Parallel Implementation Results.- 4.5. Summary.- 5. Inter-Cluster Communication In NETRA.- 5.1. Alternatives for Inter-cluster Communication.- 5.2. Analysis of Inter-cluster Communication.- 5.3. Approach to Performance Evaluation.- 5.4. Performance of Parallel Algorithms on Multiple Clusters.- 5.5. Summary.- 6. Load Balancing and Scheduling Techniques.- 6.1. Need for Efficient Load Balancing Techniques.- 6.2. Load Balancing and Scheduling Techniques for Parallel Implementation.- 6.3. Parallel Implementation and Performance Evaluation.- 7. Concluding Remarks.- 7.1. Summary and Discussion.- 7.2. Extensions.- References.

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