Image Mining: Review and New Challenges

Besides new technology, a huge volume of data in various form has been available for people. Image data represents a keystone of many research areas including medicine, forensic criminology, robotics and industrial automation, meteorology and geography as well as education. Therefore, obtaining specific in-formation from image databases has become of great importance. Images as a special category of data differ from text data as in terms of their nature so in terms of storing and retrieving. Image Mining as a research field is an interdisciplinary area combining methodologies and knowledge of many branches including data mining, computer vision, image processing, image retrieval, statis-tics, recognition, machine learning, artificial intelligence etc. This review focuses researching the current image mining approaches and techniques aiming at widening the possibilities of facial image analysis. This paper aims at reviewing the current state of the IM as well as at describing challenges and identifying directions of the future research in the field.

@article{Zahradnikova2015,
  title     = {Image Mining: Review and New Challenges},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Barbora Zahradnikova and Sona Duchovicova and Peter Schreiber},
  doi       = {10.14569/IJACSA.2015.060732},
  url       = {https://doi.org/10.14569/IJACSA.2015.060732}
}