Signal Processing for Video Applications delves into the intricacies of processing video signals using advanced techniques. This course equips participants with the necessary skills to analyze, manipulate, and enhance video data through various algorithms and methodologies. Participants will engage in hands-on projects that foster a deep understanding of both theoretical concepts and practical applications, culminating in a final project that showcases their expertise in the field.
The program emphasizes interactive learning through project-based assignments, encouraging participants to publish their findings in Cademix Magazine. By collaborating on real-world scenarios, learners will develop a robust portfolio that demonstrates their capabilities to potential employers. The course covers a range of topics, ensuring that graduates are well-prepared to meet industry demands and contribute effectively to their organizations.
Fundamentals of Digital Signal Processing
Introduction to Video Signal Formats and Standards
Techniques for Video Compression and Decompression
Spatial and Temporal Filtering Methods
Motion Detection and Tracking Algorithms
Image Enhancement Techniques for Video
Real-time Video Processing with FPGAs
Implementing Machine Learning for Video Analysis
Development of Video Processing Applications
Final Project: Design and Implementation of a Video Signal Processing System