Image Captioning Generator Using Deep Learning Models: An Abbreviated Survey
Yasir Hameed Zaidan, Jumana Waleed · Academic Science Journal · 2024
Captioning an image is the process of using a visual comprehension system with a model oflanguage, 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 arelatively 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 imagecaptioning. That issue has received a lot of proposals for solutions. An abbreviated survey ofimage captioning studies is given in this paper. We concentrate our efforts on neural networkbasedapproaches that deliver current outcomes. Neural network-based techniques are brokendown into subcategories in accordance with the implementation architecture. The most recentmethodologies are then compared to normative data sets. Methods based on neural networksare classified into subcategories according to the framework being used.