Please use this identifier to cite or link to this item:
http://148.72.244.84/xmlui/handle/xmlui/15901Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2025-02-16T08:23:55Z | - |
| dc.date.available | 2025-02-16T08:23:55Z | - |
| dc.date.issued | 2024-04-01 | - |
| dc.identifier.issn | 2958-4612 | - |
| dc.identifier.uri | http://148.72.244.84/xmlui/handle/xmlui/15901 | - |
| dc.description.abstract | Captioning an image is the process of using a visual comprehension system with a model of language, by which we can construct sentences that are meaningful and syntactically accurate. These accurate phrases can explain the natural language (The seen content of the image). As a relatively young field of study, it is gaining growing attention. To accomplish image caption, semantic information about the images must be gathered and conveyed in natural language. Computer vision and natural language processing are both used in the difficult task of image captioning. That issue has received a lot of proposals for solutions. An abbreviated survey of image captioning studies is given in this paper. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Diyala | en_US |
| dc.subject | Image Caption, Deep Learning Models, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) | en_US |
| dc.title | Image CaptioningGenerator Using Deep Learning Models: An Abbreviated Survey | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 20-733not (1).pdf | 921.34 kB | Adobe PDF | View/Open |
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