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Attention Based Encoder Decoder Model for Video Captioning in Nepali (2023)
May 21, 2024, 4:48 a.m. | Kabita Parajuli, Shashidhar Ram Joshi
cs.CV updates on arXiv.org arxiv.org
Abstract: Video captioning in Nepali, a language written in the Devanagari script, presents a unique challenge due to the lack of existing academic work in this domain. This work develops a novel encoder-decoder paradigm for Nepali video captioning to tackle this difficulty. LSTM and GRU sequence-to-sequence models are used in the model to produce related textual descriptions based on features retrieved from video frames using CNNs. Using Google Translate and manual post-editing, a Nepali video captioning …
abstract academic arxiv attention captioning challenge cs.cv decoder domain encoder encoder-decoder gru language lstm novel paradigm replace script type unique video work
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