Variable-Bit-Rate Video Frame-Size Prediction by the Extended Kalman Filter Using Levenberg-Marquardt Algorithm

It is crucial to dynamically predict the future frame-sizes (bit-rates) for multimedia networking. All of the conventional bit-rate predictors are based on the assumption that instantaneous bit-rates are known precisely all the time (in the absence of uncertainty) which is surely not realistic in pr...

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Vydané v:	IEEE transactions on broadcasting Ročník 69; číslo 1; s. 75 - 84
Hlavní autori:	Chang, Shih Yu, Wu, Hsiao-Chun, Yan, Kun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Covariance matrices expectation–maximization (EM) algorithm Extended Kalman filter Extended Kalman filter (EKF) Heuristic algorithms Kalman filters Levenberg–Marquardt algorithm (LMA) MPEG-4 Multimedia multimedia network Optimization Prediction algorithms Robustness (mathematics) Signal to noise ratio Streaming media Transform coding Uncertainty variable-bit-rate (VBR) video streaming Video compression
ISSN:	0018-9316, 1557-9611
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