SLVideo: A Sign Language Video Moment Retrieval Framework
<|reference_start|>SLVideo: A Sign Language Video Moment Retrieval Framework: Sign Language Recognition has been studied and developed throughout the years to help the deaf and hard-of-hearing people in their day-to-day lives. These technologies leverage manual sign recognition algorithms, however, most of them lack the recognition of facial expressions, which are also an essential part of Sign Language as they allow the speaker to add expressiveness to their dialogue or even change the meaning of certain manual signs. SLVideo is a video moment retrieval software for Sign Language videos with a focus on both hands and facial signs. The system extracts embedding representations for the hand and face signs from video frames to capture the language signs in full. This will then allow the user to search for a specific sign language video segment with text queries, or to search by similar sign language videos. To test this system, a collection of five hours of annotated Sign Language videos is used as the dataset, and the initial results are promising in a zero-shot setting.SLVideo is shown to not only address the problem of searching sign language videos but also supports a Sign Language thesaurus with a search by similarity technique.   Project web page: https://novasearch.github.io/SLVideo/<|reference_end|>
@article{martins2024slvideo:,
    title={SLVideo: A Sign Language Video Moment Retrieval Framework},
    author={Gonc{c}alo Vinagre Martins, Jo~ao Magalh~aes, Afonso Quinaz, Carla
  Viegas, Sofia Cavaco},
    journal={arXiv preprint arXiv:2407.15668},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15668},
    primaryClass={cs.CV cs.AI}
}