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All Journal International Journal of Electrical and Computer Engineering
Nguyen Van Tinh
Industrial University of Ho Chi Minh City
Computer Science & IT Electrical & Electronics Engineering

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Video captioning in Vietnamese using deep learning Dang Thi Phuc; Tran Quang Trieu; Nguyen Van Tinh; Dau Sy Hieu
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp3092-3103

Abstract

With the development of today's society, demand for applications using digital cameras jumps over year by year. However, analyzing large amounts of video data causes one of the most challenging issues. In addition to storing the data captured by the camera, intelligent systems are required to quickly analyze the data to correct important situations. In this paper, we use deep learning techniques to build automatic models that describe movements on video. To solve the problem, we use three deep learning models: sequence-to-sequence model based on recurrent neural network, sequence-to-sequence model with attention and transformer model. We evaluate the effectiveness of the approaches based on the results of three models. To train these models, we use microsoft research video description corpus (MSVD) dataset including 1970 videos and 85,550 captions translated into Vietnamese. In order to ensure the description of the content in Vietnamese, we also combine it with the natural language processing (NLP) model for Vietnamese.
Co-Authors Dang Thi Phuc Dau Sy Hieu Tran Quang Trieu