Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database

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.