ECE 7th Sem | Digital Image and Video Processing | UNIT-VIII Video Segmentation | Hindi

Описание: 🎓 Welcome to BONGINEERING – इंजीनियरिंग सहजপाठ!
इस वीडियो में हम Digital Image and Video Processing के UNIT–VIII: Video Segmentation को बहुत आसान Hindi + English mix भाषा में समझेंगे।
यह वीडियो खासतौर पर Bachelor of Engineering (ECE – 7th Semester) छात्रों के लिए बनाया गया है और पूरा कंटेंट WBSCTVESD University syllabus के अनुसार तैयार किया गया है।

🔍 इस वीडियो में आप क्या सीखेंगे? (What You Will Learn):
👉 Introduction to Video Segmentation

– Video segmentation क्या होता है?
– Frame-to-frame variation
– Motion-based segmentation basics

👉 Background Subtraction Techniques

✔ Frame differencing
✔ Running average method
✔ Gaussian Mixture Model (GMM)
✔ Adaptive background modeling

👉 Motion-Based Segmentation

– Optical flow
– Block matching
– Motion vectors extraction

👉 Object-Based Segmentation

– Object tracking basics
– Foreground–background separation
– Region-based segmentation

👉 Advanced Techniques

– Mean-Shift tracking
– Graph-based segmentation
– Deep learning-based segmentation (intro)

👉 Applications

– CCTV surveillance
– Traffic monitoring
– Human activity detection
– Sports & multimedia analytics
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  / 🎓   Welcome to BONGINEERING – इंजीनियरिंग सहजপाठ!
इस वीडियो में हम Digital Image and Video Processing के UNIT–VIII: Video Segmentation को बहुत आसान Hindi + English mix भाषा में समझेंगे।
यह वीडियो खासतौर पर Bachelor of Engineering (ECE – 7th Semester) छात्रों के लिए बनाया गया है और पूरा कंटेंट WBSCTVESD University syllabus के अनुसार तैयार किया गया है।

🔍 इस वीडियो में आप क्या सीखेंगे? (What You Will Learn):
👉 Introduction to Video Segmentation

– Video segmentation क्या होता है?
– Frame-to-frame variation
– Motion-based segmentation basics

👉 Background Subtraction Techniques

✔ Frame differencing
✔ Running average method
✔ Gaussian Mixture Model (GMM)
✔ Adaptive background modeling

👉 Motion-Based Segmentation

– Optical flow
– Block matching
– Motion vectors extraction

👉 Object-Based Segmentation

– Object tracking basics
– Foreground–background separation
– Region-based segmentation

👉 Advanced Techniques

– Mean-Shift tracking
– Graph-based segmentation
– Deep learning-based segmentation (intro)

👉 Applications

– CCTV surveillance
– Traffic monitoring
– Human activity detection
– Sports & multimedia analytics