Vafa Maihami

Work place: Faculty member, Department of Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran



Research Interests: Computational Learning Theory, Computer Vision, Image Processing, Information Retrieval


Vafa Maihami born in 1987 and received the M.S. degree in computer engineering from the Kurdistan University, Sanandaj, Iran, in September 2012. Since 2010 he is lecturer in Sanandaj Branch of Islamic Azad University and other institutes in Sanandaj. Currently he is facility member at Sanandaj Branch of Islamic Azad University. His interest field of research Image Processing , Computer Vision , Information Retrieval , Machine Learning , Wireless Sensor Network.

Author Articles
A Review of Methods of Instance-based Automatic Image Annotation

By Morad Derakhshan Vafa Maihami

DOI:, Pub. Date: 8 Dec. 2016

Today, to use automatic image annotation in order to fill the semantic gap between low level features of images and understanding their information in retrieving process has become popular. Since automatic image annotation is crucial in understanding digital images several methods have been proposed to automatically annotate an image. One of the most important of these methods is instance-based image annotation. As these methods are vastly used in this paper, the most important instance-based image annotation methods are analyzed. First of all the main parts of instance-based automatic image annotation are analyzed. Afterwards, the main methods of instance-based automatic image annotation are reviewed and compared based on various features. In the end the most important challenges and open-ended fields in instance-based image annotation are analyzed.

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