Self-attention mechanism, which has been successfully applied to current encoder-decoder framework of image captioning, is used enhance the feature representation in encoder and capture most relevant information for language decoder. However, existing methods will assign attention weights all candidate vectors, implicitly hypothesizes that vectors are relevant. Moreover, self-attention mechanis...

Abstract The interpretation of medical images into a natural language is developing field artificial intelligence (AI) called image captioning. This integrates two branches which are computer vision and processing. challenging topic that goes beyond object recognition, segmentation, classification since it demands an understanding the relationships between various components in how these object...

This Recommended Practice provides a common methodology for describing Transport Stream conformance criteria. This RP explicitly describes the elements and parameters of A/53 and A/65 that should be verified in an ATSC Transport Stream for it to be considered a proper emission. It does not cover RF, captioning, or elementary streams.

Accessibility efforts, how we can make the world usable and useful to as many people possible, have focused on support allow for autonomy independence of with disabilities, neurodivergencies, chronic conditions, older adults. Despite these not all technology is designed or implemented everyone's needs. TikTok. Recently, a community-organized push by creators general users TikTok urged platform ...

Descriptions are often provided along with recommendations to help users’ discovery. Recommending automatically generated music playlists (e.g. personalised playlists) introduces the problem of generating descriptions. In this paper, we propose a method for generating music playlist descriptions, which is called as music captioning. In the proposed method, audio content analysis and natural lan...

Generative models reduce the need of acquiring laborious labeling for the dataset. Text generation techniques can be applied for improving language models, machine translation, summarization, and captioning. This project experiments on different recurrent neural network models to build generative adversarial networks for generating texts from noise. The trained generator is capable of producing...