Image Mining: Review and New Challenges
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 7
Abstract
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.
Authors and Affiliations
Barbora Zahradnikova, Sona Duchovicova, Peter Schreiber
Keywords
Related Articles
- EP ID EP117015
- DOI 10.14569/IJACSA.2015.060732
- Views 86
- Downloads 0
Investigating Social Media Utilization and Challenges in the Governmental Sector for Crisis Events
The use and utilization of social media applications, tools, and services enables advanced services in daily routines, activities, and work environments. Nowadays, disconnection from social media services is a disadvanta...
Rainfall Prediction in Lahore City using Data Mining Techniques
Rainfall prediction has extreme significance in countless aspects and scopes. It can be very helpful to reduce the effects of sudden and extreme rainfall by taking effective security measures in advance. Due to climate v...
The Designing of Adaptive Self-Assessment Activities in Second Language Learning using Massive Open Online Courses (MOOCs)
Massive Open Online Courses (MOOCs) provides an effective learning platform with various high-quality educational materials accessible to learners from all over the world. In this paper, the types of learner characterist...
Evaluating Usability of E-Learning Systems in Universities
The use of e-learning systems has increased significantly in the recent times. E-learning systems are supplementing teaching and learning in universities globally. Kenyan universities have adopted e-learning technologies...
Multiobjective Optimization for the Forecasting Models on the Base of the Strictly Binary Trees
The optimization problem dealing with the development of the forecasting models on the base of strictly binary trees has been considered. The aim of paper is the comparative analysis of two optimization variants which ar...