An encoder-decoder based framework for hindi image caption generation

In recent times, research activity on image caption generation has attracted several researchers. The present work attempt to address the problem of Hindi image caption generation using Hindi Visual genome dataset. Hindi is the official and most spoken language in India. In a linguistically diverse...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 28-29; S. 35721 - 35740
Hauptverfasser:	Singh, Alok, Singh, Thoudam Doren, Bandyopadhyay, Sivaji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	1166: Advances of machine learning in data analytics and visual information processing Artificial neural networks Coders Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Encoders-Decoders Genomes Multimedia Information Systems Special Purpose and Application-Based Systems India CNN VGG19 Stacked LSTM VGG16 Hindi image caption generation
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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