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Proceedings Paper

Similarity search in content-based multimedia retrieval using spatial grid files
Author(s): Adil Alpkocak; Esen Ozkarahan
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Paper Abstract

A multimedia object is represented by several kinds of feature vectors which are (semi)-automatically extracted. Therefore, a multimedia information system must employ multiple search and indexing mechanisms due to integration of multiple search modalities such as querying and for indexing, keywords and other content-based feature vectors extracted from multimedia objects such as color, texture, shape or sketch. However, today there is no indexing method for content based retrieval of such feature combinations and there is an increasing need for multiple-feature indexing in content based multimedia retrieval systems. In this paper, we introduce a new file structure called Spatial Grid File (SGF). This file structure enables to index multimedia objects by different and independent high-dimensional feature vectors. Moreover, with it, complex queries involving combined retrieval can be efficiently performed. It has unique feature in combining set of search modes each having different properties and similarity metrics. The detailed descriptions of SGF and a summary of the results obtained from the experiments are included.

Paper Details

Date Published: 5 October 1998
PDF: 12 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325809
Show Author Affiliations
Adil Alpkocak, Dokuz Eylul Univ. (Turkey)
Esen Ozkarahan, Dokuz Eylul Univ. (Turkey)

Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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