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VeridisQuo: A Hybrid Model for Deepfake Detection Combining Spatial and Frequency Analysis

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🚀 Unlocking Video Analysis with Advanced AI Techniques 🚀

In an era where video content reigns supreme, our webpage delves deep into innovative AI-driven methodologies designed for efficient video processing. Here’s what you need to know:

  • Streamlined Workflow: The process begins with essential frame extraction and face detection, ensuring optimal data capture.
  • Dual Analysis Modules:
    • Spatial Module: Utilizes EfficientNet for feature extraction, focusing on key visual data.
    • Frequency Module: Implements both DCT and FFT for comprehensive frequency analysis, enhancing data fusion.
  • Classifier & Gradcam Insights: The integration of a robust classifier and Gradcam allows for enriched video interpretation and visualization.

This cutting-edge approach not only paves the way for enhanced video analytics but also caters to AI enthusiasts eager to harness the power of intelligent systems.

👉 Join the conversation! Share your thoughts on the future of AI in video processing below!

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