Title :
Efficient Content-Based Multimedia Retrieval Using Novel Indexing Structure in PostgreSQL
Author :
Fleites, Fausto C. ; Shu-Ching Chen
Author_Institution :
Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA
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.
Keywords :
SQL; content-based retrieval; database indexing; image retrieval; tree data structures; AH-Tree; CBIR; DBMS; PostgreSQL GiST access mechanism; PostgreSQL kernel; balanced tree-based index structure; content-based image retrieval; content-based multimedia retrieval functionality; high-level semantic information; indexing structure; semantic gap; similarity queries; user perception; Indexing; Multimedia communication; Multimedia databases; Nearest neighbor searches; Semantics; content-based retrieval; databases; multimedia indexing;
Conference_Titel :
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-0-7695-5140-1
DOI :
10.1109/ISM.2013.96