Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database
Marcin Korytkowski, Rafal Scherer, Pawel Staszewski, Piotr Woldan

TL;DR
This paper introduces a new database architecture that integrates bag-of-features image representation and SVM classification within Microsoft SQL Server for efficient image retrieval and classification.
Contribution
It presents a novel integration of visual object classification and retrieval methods directly into a relational database system.
Findings
Successful implementation of image indexing within SQL Server
Effective classification accuracy demonstrated
Enhanced retrieval performance in database environment
Abstract
This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representation model combined with the Support Vector Machine classification and is integrated in a Microsoft SQL Server database.
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