A Review of Methods of Instance-based Automatic Image Annotation
Автор: Morad A. Derakhshan, Vafa B. Maihami
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 12 vol.8, 2016 года.
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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.
Automatic Image Annotation, Instance-Based Nearest Neighbor, Semantic Gap, Voting Algorithm
Короткий адрес: https://sciup.org/15010882
IDR: 15010882
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