Comparison of feature-based and image registration-based retrieval of image data using multidimensional data access methods

Date

2013-07-01

Author

Arslan, Serdar
Yazıcı, Adnan
Sacan, Ahmet
Toroslu, İsmail Hakkı
Acar, Esra

Metadata

Show full item record

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

Item Usage Stats

244
views

0
downloads

In information retrieval, efficient similarity search in multimedia collections is a critical task In this paper, we present a rigorous comparison of three different approaches to the image retrieval problem, including cluster-based indexing, distance-based indexing, and multidimensional scaling methods. The time and accuracy trade-offs for each of these methods are demonstrated on three different image data sets. Similarity of images is obtained either by a feature-based similarity measure using four MPEG-7 low-level descriptors or by a whole image-based similarity measure. The effect of these similarity measurement techniques on the retrieval process is also evaluated through the performance tests performed on several data sets. We show that using low-level features of images in the similarity measurement function results in significantly better accuracy and time performance compared to the whole-image based approach. Moreover, an optimization of feature contributions to the distance measure for feature-based approach can identify the most relevant features and is necessary to obtain maximum accuracy. We further show that multidimensional scaling can achieve comparable accuracy, while speeding-up the query times significantly by allowing the use of spatial access methods.

Subject Keywords

Information Systems and Management

URI

https://hdl.handle.net/11511/41979

Journal

DATA & KNOWLEDGE ENGINEERING

DOI

https://doi.org/10.1016/j.datak.2013.01.007

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Exploiting information extraction techniques for automatic semantic video indexing with an application to Turkish news videos Kucuk, Dilek; Yazıcı, Adnan (Elsevier BV, 2011-08-01) This paper targets at the problem of automatic semantic indexing of news videos by presenting a video annotation and retrieval system which is able to perform automatic semantic annotation of news video archives and provide access to the archives via these annotations. The presented system relies on the video texts as the information source and exploits several information extraction techniques on these texts to arrive at representative semantic information regarding the underlying videos. These techniques ...
A NEW HEURISTIC APPROACH FOR THE MULTIITEM DYNAMIC LOT-SIZING PROBLEM KIRCA, O; KOKTEN, M (Elsevier BV, 1994-06-09) In this paper a framework for a new heuristic approach for solving the single level multi-item capacitated dynamic lot sizing problem is presented. The approach uses an iterative item-by-item strategy for generating solutions to the problem. In each iteration a set of items are scheduled over the planning horizon and the procedure terminates when all items are scheduled. An algorithm that implements this approach is developed in which in each iteration a single item is selected and scheduled over the planni...
Multi-objective integer programming: A general approach for generating all non-dominated solutions Oezlen, Melih; Azizoğlu, Meral (Elsevier BV, 2009-11-16) In this paper we develop a general approach to generate all non-dominated solutions of the multi-objective integer programming (MOIP) Problem. Our approach, which is based on the identification of objective efficiency ranges, is an improvement over classical epsilon-constraint method. Objective efficiency ranges are identified by solving simpler MOIP problems with fewer objectives. We first provide the classical epsilon-constraint method on the bi-objective integer programming problem for the sake of comple...
Semantic information-based alternative plan generation for multiple query optimization Polat, Faruk; Alhajj, R (Elsevier BV, 2001-09-01) This paper addresses the impact of semantic information about queries on alternative plan generation (APG) for multiple query optimization (MQO). MQO covers optimizing the execution of a set of queries together where each query in the set to be optimized has several alternative execution plans. A multiple query optimizer selects an alternative plan for each query to obtain an optimal global execution plan. Our approach uses information such as common relations, common possible joins and common conditions to...
THE SCHEDULING OF ACTIVITIES TO MAXIMIZE THE NET PRESENT VALUE OF PROJECTS - COMMENT SEPIL, C (Elsevier BV, 1994-02-24) In a recent paper, Elmaghraby and Herroelen have presented an algorithm to maximize the present value of a project. Here, with the help of an example, it is shown that the algorithm may not find the optimal solution.

Citation Formats

S. Arslan, A. Yazıcı, A. Sacan, İ. H. Toroslu, and E. Acar, “Comparison of feature-based and image registration-based retrieval of image data using multidimensional data access methods,” DATA & KNOWLEDGE ENGINEERING, pp. 124–145, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41979.