Open AccessKey frame extraction using hybrid algorithm of dynamic sign language
Author(s) -
Hussein Ali Aldelfy,
Mahmood Hamza Al-Mufraji,
Thamir R. Saeed
Publication year - 2019
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v13.i1.pp186-190
Subject(s) - automatic summarization , computer science , discrete wavelet transform , key frame , key (lock) , frame (networking) , artificial intelligence , edge detection , enhanced data rates for gsm evolution , computer vision , video processing , pattern recognition (psychology) , image processing , algorithm , speech recognition , wavelet transform , wavelet , image (mathematics) , telecommunications , computer security
Video summarization used in many applications such as video object recognition and classification. Different methods used for this purpose: key frame extraction using edge detection and key frame extraction using discrete wavelet transform (DWT). In video processing, numerous frames containing similar information, this leads to time consumption and slow processing speed and complexity. New method Hybrid DWT-Edge Key Frame Detection (HDEKFD) of dynamic sign language presented in this paper. This method combined two algorithms edge detection and DWT to increase processing speed by reduce the numbers of redundant frames. Simulation results illustrate the efficient of the proposed algorithm compare to other methods.