Improved Key Frame Extraction using Discrete Wavelet Transform with Modified Threshold Factor
| Autor: | Mahmood Hamza Al-Mufraji, Thamir R. Saeed, Hussein Ali Aldelfy |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Discrete wavelet transform
Computer science business.industry Video summarization Paper key 020208 electrical & electronic engineering 05 social sciences Frame (networking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Video processing Automatic summarization Wavelet Key frame 0202 electrical engineering electronic engineering information engineering Key (cryptography) Artificial intelligence 0509 other social sciences Electrical and Electronic Engineering 050904 information & library sciences business |
| Zdroj: | TELKOMNIKA (Telecommunication Computing Electronics and Control). 16:567 |
| ISSN: | 2302-9293 1693-6930 |
| DOI: | 10.12928/telkomnika.v16i2.7692 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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