An efficient image retrieval system using Ordered Weighted Aggregation

Date

2006-12-08

Author

Arslan, Serdar
Yazıcı, Adnan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

161
views

0
downloads

In this study, an XML based content-based image retrieval system that combines three visual descriptors of MPEG-7(Dominant Color (DC), Color Layout (CL) and Edge Histogram (EH)) is introduced. The system is extended to support high dimensional indexing for efficient search and retrieval from a native XML-based DBMS. To do this, an index structure, called M-Tree, which uses Euclidean distance function for each feature, is used. In addition the Ordered Weighted Aggregation (OWA) operators are adapted for aggregating the distance functions of these features. The system supports nearest neighbor queries and various types of fuzzy queries; feature-based, image-based and color-based queries. The experimental results show that our system is effective in terms of retrieval efficiency.

Subject Keywords

Content-based image retrieval, MPEG-7, M-Tree, Fuzzy query, OWA, XML database

URI

https://hdl.handle.net/11511/52923

Conference Name

1st International Symposium on Fuzzy and Rough Sets

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

An efficient recursive edge-aware filter Cigla, Cevahir; Alatan, Abdullah Aydın (2014-10-01) In this study, an efficient edge-aware filtering methodology, namely permeability filter, that exploits recursive updates among horizontal and vertical axes, is extended for common image filtering applications, including denoising, segmentation and depth upscaling. Besides, an 8-neighbor update methodology, that is applicable for all type of recursive filters, is proposed extending orthogonally generated supporting regions into multi-directional support. This extension provides fine smoothing, especially at...
An improved method of photometric stereo using local shape from shading Sakarya, U; Erkmen, İsmet (Elsevier BV, 2003-10-01) This paper presents an improved photometric stereo (PS) method by integrating it with a local shape from shading (SFS) algorithm. PS produces the initial estimate of image for the global accuracy and also provides the recovery of albedo, SFS supplies the more detailed information within each homogeneous area. The quality of depth obtained by integrating PS and SFS is compared with the real depth using absolute dept error function, and the improvement ranging from 2.3 to 14% over PS is obtained.
A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images SİKUDOVA, Elena; POULİ, Tania; ARTUSİ, Alessandro; Akyüz, Ahmet Oğuz; BANTERLE, Francesco; Mazlumoglu, Zeynep Miray; REİNHARD, Erik (2016-07-01) An integrated gamut- and tone-management framework for color-accurate reproduction of high dynamic range images can prevent hue and luminance shifts while taking gamut boundaries into consideration. The proposed approach is conceptually and computationally simple, parameter-free, and compatible with existing tone-mapping operators.
A fast color quantization algorithm using a set of one dimensional color intervals Uysal, Mehmet Ali; Yarman-Vural, FT (1998-10-07) In this study, a robust color quantization method, which is based on a one-dimensional dynamic thresholding method, is introduced The proposed method extracts a set of one-dimensional color intervals, each of which is ordered with respect to the distance to the reference color of that interval. The color intervals are then used to farm the rows of the Color Similarity Matrix for a given image. The selection of color palate is accomplished on the Color Similarity Matrix by minimizing the total square error w...
A comparative performance evaluation of scale invariant interest point detectors for infrared and visual images Emir, Erdem; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2008) In this thesis, the performance of four state-of-the-art feature detectors along with SIFT and SURF descriptors in matching object features of mid-wave infrared, long-wave infrared and visual-band images is evaluated across viewpoints and changing distance conditions. The utilized feature detectors are Scale Invariant Feature Transform (SIFT), multiscale Harris-Laplace, multiscale Hessian-Laplace and Speeded Up Robust Features (SURF) detectors, all of which are invariant to image scale and rotation. Feature...

Citation Formats

S. Arslan and A. Yazıcı, “An efficient image retrieval system using Ordered Weighted Aggregation,” Santa Clara, Cuba, 2006, vol. 224, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52923.