Call For Paper Volume:6 Issue:4 Apr'2019 |

A Review of Image Searching Using Hash Code Techniques

Publication Date : 10/07/2015

Author(s) :

Sapana Prakash Mali , Nitin N. Patil.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

The hashing techniques have been attracting huge attention in images search due to easy availability of very big amounts of data in present scenario. In this paper, various image search techniques using different hashing methods are reviewed. More than a few hashing methods such as state of the art which is used to generate hash codes, then embed and extract features of images in the high-dimensional form. This scale image search can be performed in real time; this is based on Hamming distance. This procedure consists of weighted Hamming distance and finer-grained ranking. Query adaptive weights consist of semantic concept classes which improves the result of an image search. With the Query adaptive bit weights, images are ranked and calculated by weighted Hamming distance.

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