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Paper Details
Paper Title
A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey
Authors
Alpesh Dabhi, Bhavesh Prajapati
Abstract
To retrieve an image from large image database is somehow very difficult task of image retrieval system. There are many methods proposed in the past to retrieve an image but still research has been going on to build an efficient method. Image can be retrieve by using visual low-level content such as shape, color, and texture or by using tags or keywords which are described by the semantic meaning of given image. To retrieve images using low-level visual features user needs to give an input as a query image and image retrieval gives set of images which are visually similar to given query image. But it is very difficult for many users to get query image each time which suffice their requirement. Content based image retrieval (CBIR) is a method which retrieves image based on low-level visual features. So to overcome problem of CBIR another method is to classify semantically all the images of the database as keywords. The entire database images are classified as a set of keywords and images can be retrieved based on these keywords. The main advantage of such method is that user can retrieve image in the same manner as they retrieve text document. One method is to manually classify all images; but it is very difficult and time consuming to classify large quantity of images manually, so some sort of automated method is required to perform this task. Automatic Image Annotation (AIA) is an automated method which maps low-level visual features for the high-level semantic features of the given image. This research paper is based on our survey of various AIA methods, where All the AIA methods consist of Artificial Neural Networks as a classification network.
Keywords- CBIR
Publication Details
Unique Identification Number - IJEDR1401076Page Number(s) - 435-439Pubished in - Volume 2 | Issue 1 | March 2014DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Alpesh Dabhi, Bhavesh Prajapati, "A Neural Network Model for Automatic Image Annotation and Annotation Refinement: A survey ", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.435-439, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401076.pdf
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