Research Article
A Simple and Efficient Key Frame Recognition Algorithm for Sign Language Video
@INPROCEEDINGS{10.1007/978-3-030-82565-2_1, author={Zhaosong Zhu and ShengWei Zhang and YunLei Zhou}, title={A Simple and Efficient Key Frame Recognition Algorithm for Sign Language Video}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Classification of videos Classification of sign language Key frame extraction Chinese Sign Language}, doi={10.1007/978-3-030-82565-2_1} }- Zhaosong Zhu
ShengWei Zhang
YunLei Zhou
Year: 2021
A Simple and Efficient Key Frame Recognition Algorithm for Sign Language Video
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_1
Abstract
Sign language is an important means of social communication for hearing-impaired people, and most developed countries have established their own hand language banks. Under the guidance of the National Language Commission, China has created a national sign language corpus, which is mainly composed of video. For the database, one of the most important work is to establish the index of retrieval. For sign language videos, the most important index is the hand shape displayed in the video key frame. In this paper, a simple and efficient key frame extraction algorithm is proposed based on the video library with good consistency, namely the sign language video library, to create a fast and efficient index. At the same time, it can be used as a reference for similar video libraries.
