This repository is a comprehensive course on information retrieval, covering essential topics and their implementations. The course is designed to provide both theoretical understanding and practical skills in various information retrieval techniques.
This comprehensive course explores fundamental to advanced information retrieval methodologies with emphasis on visual content analysis. Students will master techniques ranging from basic feature extraction to sophisticated deep learning approaches for multimedia retrieval. The curriculum combines theoretical foundations with hands-on implementation, progressing from traditional content-based methods to modern neural network architectures.
- 🔍 Information Retrieval
- 🖼️ Fundamentals of Image Representation (Feature Descriptors)
- 📊 Content Based Image Retrieval
- 🧠 Deep Learning in Computer Vision
- 🔗 CNN for CBIR
- 👁️ Visual Retrieval Systems (Integrating Object Detection and Segementation Techniques)
- 🎬 Video Summarization
Developed for BSCS students (Batch 2020-2024) - Spring 2024