Neural Network approach for image retrieval based on preference elicitation
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
Multimedia technologies have been developing rapidly over the last few years and have yielded a large umber of databases containing graphical documents. Tools for content-based search of graphical objects have been the subject of intensive research, but their performance is still unsatisfactory for many applications, opening up afield for further research and echnology development. Up till now, all popular Internet search engines have been only text-based, including those that search for images. In this paper We propose an image retrieval system based on neural networks. The advantage of using the neural network is that the amount of semantic gap can be reduced when compared to other echniques which may be based on clustering. The ethodology proposed below is esigned for a specific class of objects, hich can be broken down into subobjects in such a way that the main object can be classified by shape, color distribution and texture of the sub objects and the spatial spatial relations between the b-objects in a 2- dimensional image. We also assume that translation, scaling and 2D rotation do not change the class of the object, but we d not consider 3Dtransformation.Therefore, photos of the same 3D object from different positions for xample are considered to be objects belonging to different class.
Authors and Affiliations
B. Veera Jyothi , Dr. Uma Shanker
Keywords
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