Paper Info
Title
Query by Shape for Image Retrieval from Multimedia Databases.
Abstract
Efficient methods of image retrieval is one of the most important challenges in the scope of the management of large multimedia databases. Existing methods for querying, based on a textual description e.g. keywords or based on image content, are not sufficient for the most applications. Methods based on semantic features are more suitable. In this paper we propose a new query by shape (QS) method for image retrieval from multimedia databases. Each image in the database is represented as a set of graphical objects, which are specified using graphical primitives like lines, circles, polygons etc. To retrieve images containing the given object, the object shape should be provided. Next, the efficient algorithm for testing the similarity of shapes is applied. The preliminary results showed the high effectiveness of the QS method.(1)
Year
DOI
Venue
2015
10.1007/978-3-319-18422-7_33
Communications in Computer and Information Science
Keywords
Field
DocType
Query by shape,Image retrieval,Multimedia database,Graphs
Web search query,RDF query language,Query language,Multimedia database,Information retrieval,Query expansion,Computer science,Image retrieval,Query by Example,Multimedia,Database,Visual Word
Conference
Volume
ISSN
Citations 
521
1865-0929
3
PageRank 
References 
Authors
0.41
13
2
Name
Order
Citations
PageRank
Stanislaw Deniziak14513.20
T. Michno272.87