fast mode decision algorithm for the h.264/avc scalable video coding extension
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Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension. Xin Lu, Student Member, IEEE Graham R. Martin, Member, IEEE. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 23, NO. 5, MAY 2013. Outline. Introduction Observations and Analysis - PowerPoint PPT PresentationTRANSCRIPT
Fast Mode Decision Algorithm for the H.264/AVC Scalable Video Coding Extension
Xin Lu, Student Member, IEEEGraham R. Martin, Member, IEEE
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 23, NO. 5, MAY 2013
OutlineIntroductionObservations and AnalysisProposed methodsExperimental Results
Introduction #18 modes
Introduction #2Three new prediction methods
◦Interlayer motion prediction◦Interlayer residual prediction◦Interlayer intra prediction
Two layer◦Base layer◦Enhancement layer
Observations and Analysis #1In the spatial enhancement layer, the
reference index of a macroblock is more likely to be the same as that of the corresponding block in the base layer.
Observations and Analysis #2Analyze the probability of macroblocks in
the enhancement layer being encoded as MODE−SKIP when the mode of the colocated macroblock in the base layer is also MODE−SKIP.
Observations and Analysis #3
Observations and Analysis #4There is also a significant dependency
between neighboring macroblocks in the enhancement layer.
Observations and Analysis #5
Observations and Analysis #6
Flow Chart
Observations and Analysis #7The energy distribution property of the
DCT coefficients is employed to evaluate the homogeneity of a macroblock.
Observations and Analysis #8In a smooth region of an image, the DCT
energy generally tends to be concentrated in the low frequency components.
Observations and Analysis #9A threshold value of less than optimal
makes the prediction accuracy increase, but the computational cost is increased.
A threshold value larger than optimal reduces the computational cost, but the picture quality is degraded.
Observations and Analysis #10
Flow Chart
Observations and Analysis #11Not all lower layer up-sampling data is
suitable for interlayer prediction, especially when the video sequence contains slow motion and high spatial detail.
Observations and Analysis #12MVD (motion vector difference) from the
colocated macroblock in the base layer is chosen as the measure.
Observations and Analysis #13Exclude unnecessary mode candidates as
much as possible, thus maximizing the time saving.
Maintain a prediction accuracy as high as that of an exhaustive evaluation, thus minimizing picture quality degradation.
Observations and Analysis #14
Flow Chart
Proposed Methods
Experimental Result #1
Experimental Result #2
Experimental Result #3
Experimental Result #4
Experimental Result #5
Experimental Result #6
Experimental Result #7
Experimental Result #8