CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
A histogram-based approach for object-based query-by-shape-and-color in image and video databases
Authors
U. Güdükbay
Ulusoy O.
E. Şaykol
Publication date
1 January 2005
Publisher
'Elsevier BV'
Doi
Cite
Abstract
Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized histograms, (i.e. distance, angle, and color histograms) to store feature-based information that is extracted from objects. The objects can be extracted from images or video frames. The proposed histogram-based approach is used as a component in the query-by-feature subsystem of a video database management system. The color and shape information is handled together to enrich the querying capabilities for content-based retrieval. The evaluation of the retrieval effectiveness and the robustness of the proposed approach is presented via performance experiments. © 2005 Elsevier Ltd. All rights reserved
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Bilkent University Institutional Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.bilkent.edu.tr:...
Last time updated on 12/11/2016