Video captioning (VC) is a fast-moving, cross-disciplinary area of research that comprises
contributions from domains such as computer vision, natural language processing …

Recent improvements formulated in the area of video captioning have brought rapid
revolutions in its methods and the performance of its models. Machine learning and deep …

Automating the generation of audio descriptions (AD) for blind and visually impaired (BVI)
people is a difficult task, since it has several challenges involved, such as: identifying gaps …

Video lectures are considered as one of the primary media to cater good-quality educational
content to the learners. The video lectures illustrate the course-relevant concepts with …

Regardless of their domains, level, or expertise, students consider video lectures one of the
most popular learning media while engaged in self-study sessions on any e-learning …

Natural language video description (NLVD) has recently received strong interest in the
computer vision, natural language processing (NLP), multimedia, and autonomous robotics …

With the rapidly increasing number of online video resources, the ability of automatically
understanding those videos becomes more and more important, since it is almost …

Abstract Visual Question Answering (VQA) is an increasingly popular research area in
machine learning. Most of the existing VQA tasks only focus on static images, and only a few …

Recently, a research area of machine learning that has grown in popularity is Video
Question Answering (VQA). A lot of models based on this concept are used for static images …

A audiodescrição é um recurso de acessibilidade projetado para tornar a informação visual
acessível a pessoas cegas ou com baixa visão. Para aumentar a oferta de faixas de …