Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
MPEG-7 compliant ORDBMS based image storage and retrieval system
Download
index.pdf
Date
2004
Author
Güner, Kani Kerim
Metadata
Show full item record
Item Usage Stats
20
views
20
downloads
Cite This
There is an accelerating demand to access and work over the visual content of documents. Because of the insufficiency of text-based techniques for storing this data, content-based image retrieval (CBIR) systems have become a promising field. Due this fact, in this study a CBIR system is implemented that is Mpeg-7 compliant and ORDBMS based. The database contains images and their content summaries that are parsed from XML files. The summaries describe their dominant colors, color histograms, color spaces and labels, in order to be compliant with Mpeg-7. The query process requires only the summary not the image itself. Software implementation of the system is based on JSP and servlet technologies using Oracle database and Tomcat web server. It is shown that the usage of these tools in the proposed architecture brings security, portability, and speed.
Subject Keywords
MPEG (Video coding standard)
,
Information storage and retrieval systems.
,
Image processing.
URI
http://etd.lib.metu.edu.tr/upload/1260247/index.pdf
https://hdl.handle.net/11511/13866
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Optical flow based video frame segmentation and segment classification
Akpınar, Samet; Alpaslan, Ferda Nur; Department of Computer Engineering (2018)
Video information retrieval is a field of multimedia research enabling us to extract desired semantic information from video data. In content-based video information retrieval, visual content obtained from video scenes is utilized. For developing methods to cope with content-based video information retrieval in terms of temporal concepts such as action, event, etc., representation of temporal information becomes critical. In this thesis, action detection is tackled based on a temporal video representation m...
Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria
Ozlen, M.; Azizoğlu, Meral (Informa UK Limited, 2011-01-01)
In this paper, we consider a rescheduling problem where a set of jobs has already been assigned to unrelated parallel machines. When a disruption occurs on one of the machines, the affected jobs are rescheduled, considering the efficiency and the schedule deviation measures. The efficiency measure is the total flow time, and the schedule deviation measure is the total disruption cost caused by the differences between the initial and current schedules. We provide polynomial-time solution methods to the follo...
Coding algorithms for 3DTV - A survey
Smolic, Aljoscha; Mueller, Karsten; Stefanoski, Nikolce; Ostermann, Joern; Gotchev, Atanas; Akar, Gözde; Triantafyllidis, Georgios; Koz, Alper (2007-11-01)
Research efforts on 3DTV technology have been strengthened worldwide recently, covering the whole media processing chain from capture to display. Different 3DTV systems rely on different 3-D scene representations that integrate various types of data. Efficient coding of these data is crucial-for the success of 3DTV. Compression of pixel-type data including stereo video, multiview video, and associated depth or disparity maps extends available principles of classical video coding. Powerful algorithms and ope...
Prediction of Protein-Protein Interaction Relevance of Articles Using References
Calli, Cagatay (2009-09-16)
Classifying documents as protein-protein interaction (PPI) relevant or not is the first step towards extracting meaningful PPI data from article content. Currently, this classification step is handled manually by expert curators. A number of text-mining methods have been proposed to tackle this problem, using abstracts without references. We propose that article references contain important information that can be used to enhance these previous techniques. We trained an SVM classifier solely based on refere...
Multimedia Information Retrieval Using Fuzzy Cluster-Based Model Learning
Sattari, Saeid; Yazıcı, Adnan (2017-07-12)
Multimedia data, particularly digital videos, which contain various modalities (visual, audio, and text) are complex and time consuming to model, process, and retrieve. Therefore, efficient methods are required for retrieval of such complex data. In this paper, we propose a multimodal query level fusion approach using a fuzzy cluster-based learning method to improve the retrieval performance of multimedia data. Experimental results on a real dataset demonstrate that employing fuzzy clustering achieves notab...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. K. Güner, “MPEG-7 compliant ORDBMS based image storage and retrieval system,” M.S. - Master of Science, Middle East Technical University, 2004.