In today's world, video captioning is extensively used in various applications for specially-
abled and, more specifically, visually abled persons. With advancements in technology for …

Recent progress in using long short-term memory (LSTM) for image captioning has
motivated the exploration of their applications for video captioning. By taking a video as a …

Recent progress has been made in using attention based encoder-decoder framework for
image and video captioning. Most existing decoders apply the attention mechanism to every …

Audio description (AD) provides linguistic descriptions of movies and allows visually
impaired people to follow a movie along with their peers. Such descriptions are by design …

In this paper, we propose a novel approach to video captioning based on adversarial
learning and long short-term memory (LSTM). With this solution concept, we aim at …

Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Video captioning is a challenging task owing to the complexity of understanding the copious
visual information in videos and describing it using natural language. Different from previous …

Recent progress has been made in using attention based encoder-decoder framework for
video captioning. However, most existing decoders apply the attention mechanism to every …

Unsupervised video summarization plays an important role on digesting, browsing, and
searching the ever-growing videos every day, and the underlying fine-grained semantic and …

As a crucial challenge for video understanding, exploiting the spatial-temporal structure of
video has attracted much attention recently, especially on video captioning. Inspired by the …