Computer Science – Multimedia
Scientific paper
2010-05-31
International journal of Multimedia & Its Applications 2.2 (2010) 81-94
Computer Science
Multimedia
14 Pages, IJMA 2010
Scientific paper
10.5121/ijma.2010.2207
This paper presents an efficient method for approximation of temporal video data using linear Bezier fitting. For a given sequence of frames, the proposed method estimates the intensity variations of each pixel in temporal dimension using linear Bezier fitting in Euclidean space. Fitting of each segment ensures upper bound of specified mean squared error. Break and fit criteria is employed to minimize the number of segments required to fit the data. The proposed method is well suitable for lossy compression of temporal video data and automates the fitting process of each pixel. Experimental results show that the proposed method yields good results both in terms of objective and subjective quality measurement parameters without causing any blocking artifacts.
No associations
LandOfFree
An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Automated Algorithm for Approximation of Temporal Video Data Using Linear B'EZIER Fitting will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-627540