Author:
Ryszard S. Choraś
Affiliation:
Institute of Telecommunications, University of Technology & Agriculture, Poland
Keyword(s):
Image databases, image feature extraction, image retrieval.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Vision, Recognition and Reconstruction
Abstract:
Content based information retrieval is now a widely investigated issue that aims at allowing users of multimedia information systems to retrieve images coherent with a sample image. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms.
In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. Images are retrieval based on similarity of features where features of the query specification are compared with features of the image database to determine which images match similar with the given features. Feature extraction is a crucial part for any of such retrieval systems.