Paper
5 October 1998 Similarity search in content-based multimedia retrieval using spatial grid files
Adil Alpkocak, Esen Ozkarahan
Author Affiliations +
Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325809
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adil Alpkocak and Esen Ozkarahan "Similarity search in content-based multimedia retrieval using spatial grid files", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325809
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KEYWORDS
Multimedia

Databases

Feature extraction

Vector spaces

Spatial analysis

Binary data

Distance measurement

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