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WINE-O.AI: Computer Vision Assisted Wine Recommendations Michelle - - PowerPoint PPT Presentation
WINE-O.AI: Computer Vision Assisted Wine Recommendations Michelle - - PowerPoint PPT Presentation
WINE-O.AI: Computer Vision Assisted Wine Recommendations Michelle L. Gill, Ph.D. September 15, 2016 Ending Wine Ruts with Computer Vision Goal: Wine-label based database and recommendation system Data Retrieval & Processing Pipeline 1 2
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Recommendation System & Application Image Alignment with RANSAC 4
Data Retrieval & Processing Pipeline
Feature Clustering & Inverted Index Scraped 50K Wine Labels & Reviews Detection of Features with SIFT 1 2 3 5 2 3 4 5
Application Image Retrieval Clustering Computer Vision Data & Pipeline
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Teaching Computers to See
Application Image Retrieval Clustering Computer Vision Data & Pipeline
Scale Invariant Feature Transformation (SIFT) Random Sample Consensus (RANSAC)
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Fingerprinting for Fast Retrieval
Application Image Retrieval Clustering Computer Vision Data & Pipeline
Wine Clusters
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Fingerprinting for Fast Retrieval
Inverted Index
Application Image Retrieval Clustering Computer Vision Data & Pipeline
Wine Clusters Wine Clusters
2 3 1
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WINE-O.AI Demo
Application Image Retrieval Clustering Computer Vision Data & Pipeline
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WINE-O.AI Demo
Application Image Retrieval Clustering Computer Vision Data & Pipeline
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WINE-O.AI Demo
Application Image Retrieval Clustering Computer Vision Data & Pipeline
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- Accurate fingerprinting of wine labels achieved using
computer vision and machine learning
- Search and recommendation engines implemented in
web application
- Foundation of mobile application and wine cataloging
system
Conclusions
WINE-O.AI: Imbibe Intelligently
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