Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database

TL;DR

This paper introduces a flexible multi-layer architecture for storing, browsing, and searching visual data, utilizing WCF and Microsoft SQL Server, with experimental validation using SURF features and K-means clustering.

Contribution

It proposes a novel multi-layer architecture for visual data storage that allows component replacement without recompilation, based on dependency injection and control inversion patterns.

Findings

Architecture supports content-based image retrieval

Implemented SURF and K-means for experimental validation

Suitable for both simulation and real-world CBIR tasks

Abstract

In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of architecture for storing such data requires a set of tools and frameworks such as SQL database management systems and service-oriented frameworks. The proposed solution is based on a multi-layer architecture, which allows to replace any component without recompilation of other components. The approach contains five components, i.e. Model, Base Engine, Concrete Engine, CBIR service and Presentation. They were based on two well-known design patterns: Dependency Injection and Inverse of Control. For experimental purposes we implemented the SURF local interest point detector as a feature extractor and $K$-means clustering as indexer. The presented architecture is intended for content-based retrieval systems simulation purposes as well as for real-world CBIR tasks.