IJMTES – A SURVEY OF REGION DETECTORS FOR LARGE SCALE IMAGE RETRIEVAL

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : A SURVEY OF REGION DETECTORS FOR LARGE SCALE IMAGE RETRIEVAL 

Author’s Name : T K Pradeepa  unnamed

Volume 03 Issue 10 2016

ISSN no:  2348-3121

Page no: 79-80

Abstract – This project proposes and evaluates alternative choices to extract patches densely. We consider a pipeline for image classification or search based on coding approaches like bag of words or Fisher vectors. The proposed approaches based on superpixels, edges, and a bank of Zernike filters used as detectors. In this context, the most common approach is to extract the image patches regularly in a dense manner on several scales. The different approaches are evaluated on recent image retrieval and fine-grained classification benchmarks. Our expected result will give the accuracy and performance level of each dense region detectors.   

Keywords— Image Retrieval; Region Detectors

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