Periscope: A Content-based Image Retrieval Engine
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The document outlines a project named 'Periscope', which is a content-based image retrieval engine utilizing Python, PostgreSQL, and various image processing libraries. Key tasks include feature extraction from images, database integration, and similarity search using a distance measure. Future work may incorporate text-based retrieval and image segmentation, along with references to helpful resources.
Periscope: A Content-based Image Retrieval Engine
- 1. Periscope: A Content-Based Image Retrieval Engine By Antigoni M. Founta Student ID: 647
- 2. Goal: Search using an Image as a query
- 3. The Project
- 4. Components The essential components of the project! ● Python ● PostgreSQL ● OpenCV ● Scikit-Image ● Python Libraries: ScıPy, NumPy ● Flask ● Bootstrap
- 5. Algorithm 1. Create schema 2. Upload image and calculate histograms 3. Add image and calculated features to the database 4. Search for similarity in saved images 5. Return a subset with the most similar according to a distance measure
- 7. The Tasks Some required tasks for the project. 1. Extract Features 2. Add Image to Database 3. Search through Images and Compare Features 4. Return Similar Images
- 8. 1. Extract Features ● Color Vector: CalcHist() OpenCV method - HSV ● Texture Vector: LBP (Local Binary Patterns) Scıkıt-Image Lıbrary - GrayScale ● Shape Vector: Hu Moments OpenCV method - GrayScale Normalize all! 2. Add Image to DB ● Save image to local folder ● Get path of image ● Save path and features on Database →
- 9. 3. Search through Images ● Concatenate vectors ● Calculate ChiSquare (x2 ) distance ● Get results 4. Return Similar ● Sort Results ● Keep 8 best ● Present →
- 10. Add Many Images More Features Annotations Video Audio Ontology Crawling Future Work Text-Based Retrieval Image Segmentation
- 11. Resources ● PyImageSearch (http://www.pyimagesearch.com/) ● HanzraTech (http://hanzratech.in/2015/05/30/local-binary-patterns.html) ● Unsplash (https://unsplash.com/)