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Research Article | Open Access |

Generating Representative Sets and Summaries for Large Collection of Images Using Image Cropping Techniques and Result Comparison

Author 1: Abdullah Al-Mamun Author 2: Dhaval Gandhi Author 3: Sheak Rashed Haider Noori
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 11 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.061131

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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.

Keywords

summarization representative set image collection diversity coverage

How to Cite this Article

Al-Mamun, A., Gandhi, D., & Noori, S. R. H. (2015). 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, 6(11). https://doi.org/10.14569/IJACSA.2015.061131

Al-Mamun, Abdullah, et al.. "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, vol. 6, no. 11, 2015, https://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},
  volume    = {6},
  number    = {11},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Abdullah Al-Mamun and Dhaval Gandhi and Sheak Rashed Haider Noori},
  doi       = {10.14569/IJACSA.2015.061131},
  url       = {https://doi.org/10.14569/IJACSA.2015.061131}
}

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