Abstract: The collection of photos hosted on photo archives and social networking sites has been increasing exponentially. It is really hard to get the summary of a large image set without browsing through the entire collection. In this paper two different techniques of image cropping (random windows technique and sequential windows technique) have been proposed to generate effective representative sets. A ranking mechanism has been also proposed for finding the best representative set.

Abdullah Al-Mamun, Dhaval Gandhi and Sheak Rashed Haider Noori, “Generating Representative Sets and Summaries for Large Collection of Images Using Image Cropping Techniques and Result Comparison” International Journal of Advanced Computer Science and Applications(IJACSA), 6(11), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061131

@article{Al-Mamun2015,
title = {Generating Representative Sets and Summaries for Large Collection of Images Using Image Cropping Techniques and Result Comparison},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2015.061131},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061131},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {11},
author = {Abdullah Al-Mamun and Dhaval Gandhi and Sheak Rashed Haider Noori},
}