Video Analytics and Processing

9.

Real-time Processing and Optimization

9.1.

Real-time System Design

9.1.1.

Latency Requirements

9.1.2.

Throughput Optimization

9.1.3.

Memory Management

9.1.4.

Pipeline Architecture

9.2.

Hardware Acceleration

9.2.1.

GPU Computing for Video

9.2.1.1.

CUDA Programming

9.2.1.2.

OpenCL Applications

9.2.1.3.

Memory Optimization

9.2.2.

Specialized Hardware

9.2.2.1.

TPU Acceleration

9.2.2.2.

FPGA Implementation

9.2.2.3.

Neural Processing Units

9.2.3.

9.2.3.1.

Mobile GPU Optimization

9.2.3.2.

Embedded System Design

9.2.3.3.

Power Efficiency

9.3.

Algorithm Optimization

9.3.1.

Model Compression Techniques

9.3.1.1.

Pruning Methods

9.3.1.2.

Quantization Strategies

9.3.1.3.

Knowledge Distillation

9.3.2.

Efficient Network Architectures

9.3.2.1.

MobileNets for Video

9.3.2.2.

Lightweight Temporal Models

9.3.2.3.

Progressive Processing

9.3.3.

Parallel Processing

9.3.3.1.

Multi-threading Strategies

9.3.3.2.

Distributed Processing

9.3.3.3.

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10. Domain-Specific Applications