Reduction in Retrieval Time in CBIR using Mapreduce |
Author(s): |
| Krishna Parekh , LJIET; Narendra Limbad, LJIET |
Keywords: |
| CBIR, Feature Extraction, Precision, Recall |
Abstract |
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In CBIR main problem is to extract the image features that effectively represent the contents of an image in a database which may be difficult to use, using single feature. Whereas with combination of different features it would give efficient results. The different combination used maybe color-edge; color-shape-texture; color-texture; shape-texture. With more features different aspects of an image could be represented. These type of combination along with Hadoop MapReduce on distributed database less retrieval time can be achieved. Image retrieval based on color, texture and shape is an emerging and wide area of research scope. In this paper we present a novel framework for combining all the three i.e. color, texture and shape information along with MapReduce and achieve higher retrieval efficiency. |
Other Details |
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Paper ID: IJSRDV3I31044 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3677-3679 |
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