Fast video encoding based on random forests

Machine learning approaches have been increasingly used to reduce the high computational complexity of high-efficiency video coding (HEVC), as this is a major limiting factor for real-time implementations, due to the decision process required to find optimal coding modes and partition sizes for the...

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Veröffentlicht in:	Journal of real-time image processing 2020-08, Vol.17 (4), p.1029-1049
Hauptverfasser:	Tahir, Muhammad, Taj, Imtiaz A., Assuncao, Pedro A., Asif, Muhammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Classifiers Complexity Computer Graphics Computer Science Data structures Decision theory Decision trees Distance learning Dynamic characteristics Feature selection Image Processing and Computer Vision Machine learning Multimedia Information Systems Original Research Paper Pattern Recognition Random access Signal,Image and Speech Processing Support vector machines Video compression
Online-Zugang:	Volltext
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