Object analysis in image mining
Imran Khan, Asif Khan, Riaz Ahmed Shaikh · International Conference on Computing for Sustainable Global Development · 2015
Multimedia and image mining representing the image objects clearly and efficiently because image objects are hard to define. Thus, we have to break the image object into meaningful components such as color, texture, shape, etc. Querying the image objects after representing them to retrieve the discovered knowledge. In the age of Big Data where Velocity, Variety and Volume are the challenges, variety of data that include structured as well as unstructured data is the most important issue. Image mining in Big Data is the challenge need to be addressed, so the proposed work compose an image query object, aspect of use, Keywords to compose a query, try to compare the query image object to the objects in the database because unlike numeric or text data, exact match can be rarely found between two image objects. Visualization techniques to view the image components in a meaningful way such as image mining that create effective analysis and retrieval.