Paper Info
Title
Query-by-Shape interface for Content Based Image Retrieval
Abstract
In this paper we describe Query-by-Shape, a new Content-Based Image Retrieval interface. In this method objects are decomposed into features, each feature may consist of a color, a texture or a shape attributes. The query stage consists of comparing the query objects graph with objects from the database. The main advantage of the proposed solution is the ability to query for an object without having full knowledge about it. The proposed interface allows creating graphically drawn queries using simple, predefined shapes. Moreover, the method is able to automatically detect image features and to create a graph used for the query. Because users sometimes would like to get results representing not only exactly the same class of objects, but also similar objects, thus as a result a set of objects, ordered according to the similarity to the query, are returned. The method was implemented as a prototype web-based application. The initial, experimental results proved that the method is very promising, it identifies objects with a high precision.
Year
DOI
Venue
2015
10.1109/HSI.2015.7170652
2015 8th International Conference on Human System Interaction (HSI)
Keywords
Field
DocType
content based imag retrieval,multimedia databases,graphical query,query by shape
Query optimization,Computer vision,Web search query,Query language,Query expansion,Computer science,Web query classification,Query by Example,Ranking (information retrieval),Artificial intelligence,Content-based image retrieval
Conference
ISSN
Citations 
PageRank 
2158-2246
1
0.36
References 
Authors
15
2
Name
Order
Citations
PageRank
Stanislaw Deniziak14513.20
T. Michno272.87