Efficient Content-Based Multimedia Retrieval Using Novel Indexing Structure in PostgreSQL

Abstract

This demo paper presents a system based on PostgreSQL and the AH-Tree that supports Content-Based Image Retrieval (CBIR) through similarity queries. The AH-Tree is a balanced, tree-based index structure that utilizes high-level semantic information to address the well-known problems of semantic gap and user perception subjectivity. The proposed system implements the AH-Tree inside PostgreSQL's kernel by internally modifying PostgreSQL's GiST access mechanism and thus provides a DBMS with a viable and efficient content-based multimedia retrieval functionality.