Research Article Open Access

�A Novel Approach For Automatic Image Annotation Using Color Saliency�

Abstract

Image annotation task consists to assign a set of semantic tags or labels to a novel image based on some models learned from certain training data. Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that gives reasonable performance on standard datasets. This paper proposed algorithm to annotate image by comparing test image feature vector with feature matrix of training data sets and similar and dissimilar image pairs. Ranking technique is used for transferring the key word from similar image pair to the test image by counting local frequency of keywords. Performance is evaluated using precision and recalle proposed method.

Shalini K.Kharkate, Prof.Nitin J.Janwe

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