Sign language video retrieval plays a key role in facilitating information access for the deaf
community. Despite significant advances in video-text retrieval, the complexity and inherent …

Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of
Hearing communities. Deep learning methods for SL recognition and translation have …

Abstract Sign Language Translation (SLT) aims to translate sign videos into text sentences.
While gloss sequences, the written approximation of sign videos, provide informative …

A major impediment to the advancement of sign language translation (SLT) is data scarcity.
Much of the sign language data currently available on the web cannot be used for training …

Although previous RGB-D-based gesture recognition methods have shown promising
performance, researchers often overlook the interference of task-irrelevant cues like …

Different from traditional video retrieval, sign language retrieval is more biased towards
understanding the semantic information of human actions contained in video clips. Previous …

Technology to support human communication by sign language may address a growing
social need and is interesting from an engineering perspective, considering multimodal …

The objective of this paper is to develop a functional system for translating spoken
languages into sign languages, referred to as Spoken2Sign translation. The Spoken2Sign …

Automatic Sign Language Translation requires the integration of both computer vision and
natural language processing to effectively bridge the communication gap between sign and …

Sign language translation (SLT) addresses the problem of translating information from a
sign language in video to a spoken language in text. Existing studies, while showing …