Thamir R. Saeed
University of Technology

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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

Improved Key Frame Extraction using Discrete Wavelet Transform with Modified Threshold Factor Hussein Ali Aldelfy; Mahmood Hamza Al-Mufraji; Thamir R. Saeed
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 2: April 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i2.7692

Abstract

Video summarization used for a different application like video object recognition and classification. In video processing, numerous frames containing similar information, this leads to time consumption and slow processing speed and complexity. By using key frames reducing the amount of memory needed for video data processing and complexity greatly. In this paper key frame extraction of Arabic isolated word using discrete wavelet transform (DWT) with modified threshold factor is proposed with different bases. The results for different wavelet basis db, sym and coif show the best result for numbers of key frames at the threshold factor value (0.75).