A Modified Optimal Clustering Technique for Image Categorization and Summarization

A Modified Optimal Clustering Technique for Image Categorization and Summarization

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-49 Number-2
Year of Publication : 2017
Authors : Dr. Goutam Sarker, Antara Pal, Saswati Das
DOI :  10.14445/22315381/IJETT-V49P216

Citation 

Dr. Goutam Sarker, Antara Pal, Saswati Das "A Modified Optimal Clustering Technique for Image Categorization and Summarization", International Journal of Engineering Trends and Technology (IJETT), V49(2),99-106 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Image Categorization and Summarization has become a promising task with the swift development of social networks and image sharing sites. Image categorization is the process of categorizing images into groups based on image pixel similarity. On the other hand Image summarization is the process of selecting a small set of representative image from a collection of similar images. In our present work we propose hierarchical categorization of images followed by the summarization of each categories. By hierarchical we mean, we have further categorized a resulted category (which has scope for further categorization). Categorization of images is achieved by using Optimal Clustering algorithm and summaries are generated using cluster centroids. Furthermore we have imposed compression on the summary set to yield a concise summary set. User-based evaluation demonstrates the effectiveness of the proposed work.

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Keywords
Image Categorization, Image Summarization, OCA, Hierarchical OCA, Centroid, Representative Image.