A Review of Methods for The Image Automatic Annotation
Nowadays, image annotation has attracted extensive attention due to the explosive growth of image data. Large amount of researches on AIA have been proposed, mainly including classification-based methods and probabilistic modeling methods. In this paper, a detailed study on state-of-the-art of image...
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| Veröffentlicht in: | Journal of physics. Conference series 2021-04, Vol.1892 (1), p.12002 |
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| container_title | Journal of physics. Conference series |
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| creator | Adnan, Myasar Mundher Rahim, Mohd Shafry Mohd Hasan ali, Mohammed Al-Jawaheri, Karrar Neamah, Karrar |
| description | Nowadays, image annotation has attracted extensive attention due to the explosive growth of image data. Large amount of researches on AIA have been proposed, mainly including classification-based methods and probabilistic modeling methods. In this paper, a detailed study on state-of-the-art of image annotation was presented devoted to a detailed study of image annotation methods. Differences between manual, semi-automatic and automatic annotation were completely distinguished. The criteria for evaluating annotation systems are also presented in this study. In conclusion, a synthesis of methods of automatic image annotation were shown by presenting the pros and cons of each. This synthesis allowed us to examine our choice for automatic image annotation and the importance of integrating user feedback and a semantic. Finally, we participated in our perspective on the issues and challenges in AIA as well as research tendency in the future. |
| doi_str_mv | 10.1088/1742-6596/1892/1/012002 |
| format | Article |
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| source | Institute of Physics IOPscience extra; Full-Text Journals in Chemistry (Open access); Institute of Physics Open Access Journal Titles; Alma/SFX Local Collection; EZB Electronic Journals Library |
| subjects | Annotations Image annotation Physics State-of-the-art reviews Synthesis Systems analysis |
| title | A Review of Methods for The Image Automatic Annotation |
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