Effective Surveillance for Homeland Security: Balancing Technology and Social Issues (Multimedia Computing, Communication and Intelligence)

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
Preface
Acknowledgments
Acronyms
Part I: Video Transmission - Coded or Uncoded
	1. Uncoded Video Transmission
		1.1. Coded Video Transmission
		1.2. Uncoded Video Transmission
			1.2.1. Basic Concept
			1.2.2. Theoretical Work
			1.2.3. SoftCast
		1.3. Challenges in UVT
	2. Advances in Uncoded and Hybrid Multimedia Transmission
		2.1. Advances in Uncoded Multimedia Transmission
			2.1.1. Multimedia Correlation Processing
			2.1.2. Resource Allocation
			2.1.3. MIMO Support
		2.2. Advances in HDA Multimedia Transmission
			2.2.1. Theoretical Work
		2.3. Summary
Part II: Correlation Processing
	3. Keeping Redundancy in Transmission
		3.1. Introduction
		3.2. Overview of the Proposed System
		3.3. Resource Allocation for Spatial-Domain Transmission
			3.3.1. Bandwidth Allocation
			3.3.2. Power Allocation
		3.4. Implementation
			3.4.1. Sender
			3.4.2. Receiver
		3.5. Evaluation
			3.5.1. Methodology
			3.5.2. System Comparison
		3.6. Summary
	4. Distributed Uncoded Video Transmission
		4.1. Introduction
		4.2. Proposed DCast
			4.2.1. Coset Coding
			4.2.2. Coset Quantization
			4.2.3. Power Allocation
			4.2.4. Packaging and Transmission
			4.2.5. LMMSE Decoding
		4.3. Power-distortion Optimization
			4.3.1. Relationship between Variables
			4.3.2. MV Transmission Power and Distortion
			4.3.3. MV Distortion and Prediction Noise Variance
			4.3.4. Distortion Formulation
			4.3.5. Solution
		4.4. Experiments
			4.4.1. PDO Model Verification
			4.4.2. Unicast Performance
			4.4.3. Robustness Test
			4.4.4. Multicast Performance
			4.4.5. Complexity and Bit Rate
		4.5. Summary
	5. Line-based Uncoded Image Transmission
		5.1. Introduction
		5.2. The Proposed LineCast
			5.2.1. 1D Transform
			5.2.2. Scalar Modulo Quantization
			5.2.3. Power Allocation and Transmission
			5.2.4. LLSE Decoder
			5.2.5. Side Information Generation
			5.2.6. MMSE Denoising
		5.3. Bandwidth Expansion and Compression
		5.4. Experimental Results
			5.4.1. LineCast Performance
			5.4.2. Broadcast Results
			5.4.3. Bandwidth Expansion
			5.4.4. Visual Quality
		5.5. Summary
Part III: Resource Allocation
	6. Joint Bandwidth and Power Allocation
		6.1. Introduction
		6.2. Problem
			6.2.1. System Model
			6.2.2. Problem Statement
		6.3. Analysis
			6.3.1. Power Allocation Problem
			6.3.2. Bandwidth Allocation Problem
		6.4. Solution
			6.4.1. An Iterative Algorithm
			6.4.2. Proposed Fast Algorithm
		6.5. Evaluation
			6.5.1. Implementation
			6.5.2. Settings
			6.5.3. Results
		6.6. Summary
	7. Progressive Transmission
		7.1. Introduction
		7.2. Progressive Uncoded Video Transmission
			7.2.1. Framework Overview
			7.2.2. System Model and Problem Formulation
		7.3. The Proposed Solution
			7.3.1. Power Allocation
			7.3.2. Scheduling
			7.3.3. Approximation
		7.4. Evaluation
			7.4.1. Settings
			7.4.2. Results in Simulated Environment
			7.4.3. Trace-Driven Emulation
		7.5. Summary
	8. Superposed Transmission with NOMA
		8.1. Introduction
		8.2. System Description
			8.2.1. SoftCast-based Video Encoding with SC
			8.2.2. Video Reconstruction with SIC and LLSE
		8.3. Problem Formulation and Analysis
			8.3.1. Problem Statement and Formulation
			8.3.2. Two-stage Power Allocation
			8.3.3. Two-sided Matching Formulation for Chunk Scheduling
		8.4. Matching Algorithm for Chunk Scheduling
			8.4.1. Design and Description of Algorithm
			8.4.2. Analysis of Algorithm
		8.5. Performance Evaluation
			8.5.1. Performance Comparison
			8.5.2. Impacts of Bandwidth Compression Ratio B
			8.5.3. Impacts of Chunk Size
		8.6. Summary
	9. Joint Subcarrier Matching and Power Allocation
		9.1. Introduction
		9.2. System Model
			9.2.1. Overview of SSRVB
			9.2.2. Spatial Decomposition
			9.2.3. Robust Video Transmission
			9.2.4. Spatial Scalability Analysis
		9.3. Joint Subcarrier Matching and Power Allocation
			9.3.1. Problem Formulation
			9.3.2. Power Allocation
			9.3.3. Subcarrier Matching
			9.3.4. Iterative Solution
			9.3.5. Channel State Information Feedback
		9.4. Performance Evaluation
			9.4.1. Reference Schemes
			9.4.2. Results of Spatial Scalability and Joint Resource Allocation
			9.4.3. Results under Single User Scenarios
			9.4.4. Results under Multiple Users Scenarios
			9.4.5. Computation Cost Comparison
		9.5. Summary
Part IV: MIMO Support
	10. Channel Allocation
		10.1. Introduction
		10.2. Background and Motivation
			10.2.1. Source Characteristics
			10.2.2. Channel Characteristics
			10.2.3. Source-channel Similarities
		10.3. System Design
			10.3.1. Overview
			10.3.2. Source Decorrelation
			10.3.3. Channel Decorrelation
			10.3.4. Unequal Error Protection for the Coefficients
			10.3.5. Managing Metadata
			10.3.6. The Video Decoder
		10.4. Implementation
			10.4.1. ParCast+ Implementation
			10.4.2. Schemes for Comparison
		10.5. Evaluation
			10.5.1. Experimental Setup
			10.5.2. ParCast+ Microbenchmarks
			10.5.3. Comparison against Alternative Schemes
		10.6. Summary
	11. Compressive Sampling Code
		11.1. Introduction
		11.2. Compressive Image Broadcasting
		11.3. Sender Design
			11.3.1. Power Allocation
			11.3.2. Compressive Sampling and Transmission
		11.4. Receiver Design
			11.4.1. CS Decoder
		11.5. Simulation Evaluation
			11.5.1. Comparison with SoftCast
			11.5.2. Comparison with Conventional Digital Schemes
			11.5.3. Overall Performance in a Broadcasting Session
		11.6. Summary
	12. Multiple Similar Description Code
		12.1. Introduction
		12.2. Intuition
			12.2.1. Basic Idea
			12.2.2. Innovations
		12.3. AirScale System Design
			12.3.1. Generating MSD Sequences
			12.3.2. Transform and Power Allocation
			12.3.3. M-STBC Code Construction
			12.3.4. Reconstruction Algorithm
		12.4. Evaluation
			12.4.1. Implementation
			12.4.2. Environment and Settings
			12.4.3. System Comparisons
			12.4.4. Robustness to Radio Failures
		12.5. Summary
Part V: Hybrid Digital and Analog Transmission
	13. A Practical HDA Design
		13.1. Introduction
		13.2. The Proposed HDA Framework
		13.3. Optimization in Resource Allocation
			13.3.1. Problem Formulation
			13.3.2. Problem Analysis
		13.4. A Practical Design
		13.5. Implementation and Evaluation
			13.5.1. Implementation
			13.5.2. Settings
			13.5.3. Results
		13.6. Summary
	14. Structure-Preserving Hybrid Digital-Analog Transmission
		14.1. Introduction
		14.2. SharpCast System Design
			14.2.1. Overview
			14.2.2. Video Decomposition
			14.2.3. Digital Processing and Transmission
			14.2.4. Analog Processing and Transmission
		14.3. Resource Allocation
			14.3.1. Problem Formulation
			14.3.2. The Proposed Solution
			14.3.3. Solving Sub-problem 1
			14.3.4. Solving Sub-problem 2
		14.4. Evaluation and Results
			14.4.1. Methodology
			14.4.2. Benchmark Evaluation
			14.4.3. Performance Comparison
		14.5. Summary
	15. Superimposed Modulation for Soft Video Delivery with Hidden Resources
		15.1. Introduction
		15.2. Soft Video Delivery with HDA-SIM
			15.2.1. An Overview of the Soft Video Delivery Framework
			15.2.2. Introduction of HDA-SIM
			15.2.3. Analysis of HDA-SIM
		15.3. Resource Allocation in HDA-SIM
			15.3.1. Problem Formulation and Definitions
			15.3.2. Channel Allocation
			15.3.3. Power Allocation
		15.4. Implementations
			15.4.1. SoftCast-SIM
			15.4.2. SharpCast-SIM
		15.5. Evaluations
			15.5.1. Settings
			15.5.2. Benchmark Evaluations of HDA-SIM
			15.5.3. Performance Comparison
			15.5.4. Trace-driven Emulations
		15.6. Summary
	16. Adaptive HDA Video Transmission in Mobile Networks
		16.1. Introduction
		16.2. System Overview
			16.2.1. Digital Encoder
			16.2.2. Packaging and Modulation
			16.2.3. Maintaining the Integrity of the Specifications
		16.3. Effect of Channel Prediction on Video Transmission in Mobile Networks
			16.3.1. Long-range Prediction Algorithm
			16.3.2. Video Content Division Strategy
			16.3.3. Time Complexity of Proposed System
		16.4. P-APDO in Single-user Scenarios
			16.4.1. Power Allocation Strategy in Hybrid Digital-Analog Transmission
			16.4.2. Chunk-based Power Allocation
			16.4.3. Subband-based Adaptive Power Distortion Optimization
		16.5. P-APDO in Multi-user Scenarios
			16.5.1. Multi-user Power Allocation Strategy in Hybrid Digital-Analog Transmission
			16.5.2. Chunk-based Power Pre-allocation for Multi-user Parallel Transmission
			16.5.3. Power Re-allocation among Chunks Being Transmitted
			16.5.4. Subband-based Adaptive Power Distortion Optimization
		16.6. Performance Evaluation
			16.6.1. Simulation Results in Single-user Scenarios
			16.6.2. Simulation Results in Multi-user Scenarios
		16.7. Summary
References
Index