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- W4380451137 abstract "Posting photographs online has become an essential aspect of consumer’s life in recent years because of the rapid development of social networking sites searching for the right caption for posting their picture could be troublesome work and few users spend hours together in search of a good caption. Thus, Image captioning gradually attracted the attention of many people and became an interesting and arduous task. Image captioning automatically generates captions according to the emotions observed in the user’s face. Our project aims to suggest captions for the picture by detecting the emotion in the user’s face to simplify their task. The proposed system uses a machine-learning classification algorithm to detect the emotion in user’s face when they post an image on Instagram. For example, if the user posts a happy picture then our Image Captioner generates all captions related to happiness. Through this, people don’t have to spend hours of their precious time searching for a suitable caption for their image." @default.
- W4380451137 created "2023-06-14" @default.
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- W4380451137 date "2023-01-01" @default.
- W4380451137 modified "2023-10-17" @default.
- W4380451137 title "Caption Suggestions Through Facial Expression Analysis" @default.
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- W4380451137 doi "https://doi.org/10.1007/978-981-99-0769-4_61" @default.
- W4380451137 hasPublicationYear "2023" @default.
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