Key frame extraction using hybrid algorithm of dynamic sign language
| Autor: | Thamir R. Saeed, Mahmood Hamza Al-Mufraji, Hussein Ali Aldelfy |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Discrete wavelet transform
Control and Optimization Computer Networks and Communications Computer science business.industry Cognitive neuroscience of visual object recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Video Video processing Sign language Hybrid algorithm Automatic summarization Edge detection Hybrid Hardware and Architecture Key frame Signal Processing Artificial intelligence Electrical and Electronic Engineering business DWT Information Systems |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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