PREDVIĐANJE EFEKATA TEMPORALNOG FILTRA NA KVALITET VIDEO SEKVENCI
Ključne reči:
Kvalitet videa, Obrada slike, Mašinsko učenje
Apstrakt
U ovom radu je opisan algoritam mašinskog učenja za predviđanje efekata temporalnog filtra na video sekvence.
Reference
[1] Vladimir Crnojević, “Prepoznavanje oblika za inženjere”, FTN Izdavaštvo, Novi Sad, 2014.
[2] Josh Patterson, Adam Gibson, “Deep learning- a practitioner's approach“, Sebastopol, CA 2017
[3] Dr. V. Petrovic, Mr. M. Willcox, Mr. C. B. Jackson, “Augmenting enhanced video quality assessment and enhanced Video quality control-milestone M2 report”, 2019.
[4] Deeplearning.ai, https://www.coursera.org/learn/introduction-tensorflow
[5] Deeplearning.ai, https://www.coursera.org/learn/convolutional-neural-networks-tensorflow
[6] Deeplearning.ai, https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w
[2] Josh Patterson, Adam Gibson, “Deep learning- a practitioner's approach“, Sebastopol, CA 2017
[3] Dr. V. Petrovic, Mr. M. Willcox, Mr. C. B. Jackson, “Augmenting enhanced video quality assessment and enhanced Video quality control-milestone M2 report”, 2019.
[4] Deeplearning.ai, https://www.coursera.org/learn/introduction-tensorflow
[5] Deeplearning.ai, https://www.coursera.org/learn/convolutional-neural-networks-tensorflow
[6] Deeplearning.ai, https://www.youtube.com/channel/UCcIXc5mJsHVYTZR1maL5l9w
Objavljeno
2019-11-05
Sekcija
Elektrotehničko i računarsko inženjerstvo
