Generation and Evaluation of Hindi Image Captions of Visual Genome
| Autor: | Loitongbam Sanayai Meetei, Thoudam Doren Singh, Sivaji Bandyopadhyay, Alok Singh |
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| Rok vydání: | 2021 |
| Předmět: |
Hindi
Computer science business.industry InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre Convolutional neural network language.human_language Image (mathematics) Fluency ComputingMethodologies_PATTERNRECOGNITION language Artificial intelligence business computer Natural language processing |
| Zdroj: | Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789813340831 |
| DOI: | 10.1007/978-981-33-4084-8_7 |
| Popis: | The automatic image caption generation with proper fluency and expressiveness is an emerging area of research. A lot of research has been done on image caption generation for English, but very few work has been done in the area of generating and evaluating captions in Hindi. In this paper, the problem of generation and evaluation of captions in Hindi is addressed by using a framework based on convolutional neural network (CNN) and long short-term memory (LSTM). This model maximizes the likelihood of the target caption for an input image. The framework is experimented over Hindi Visual Genome dataset. Human evaluation and pre-defined automatic evaluation metrics are used for the evaluation of generated output. The experimental results of the framework manifest that the model is generating reasonably impressive Hindi captions. |
| Databáze: | OpenAIRE |
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