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The standard specification defines hierarchical framing with three layers so as to match the 3GPP Long-Term Evolution (LTE) framing.
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People tut-tutting about media dons need to get over themselves and stop assuming the difference between professional and popular science sits on a hierarchical frame that places the former on top.
Temporal prediction is carried out using a hierarchical frame organization, similar to the prediction structures used in [5, 12, 26].
In [92] the authors propose a hierarchical frame selection scheme which considers semantic relevance in video sequences at different levels computed from compressed wavelet-based scalable video.
When comparing F-scores for the hierarchical and the compositional frame structure in Figure 5, we find a small but significant overall improvement for using a hierarchical frame structure instead of a compositional one, i.e. t(179)=12.4,p<0.001, with an absolute average improvement in F-score of 3.3%.
The hierarchical semantic frame structure was superimposed by a decision tree dominating decoded NMF activations.
Equation 2 represents the non-dyadic hierarchical B-frame with four temporal levels.
In this section, the proposed GPU-based inter prediction algorithm for hierarchical B-frames is presented.
In this paper, a fast motion estimation scheme for a low-delay hierarchical P-frame structure is proposed.
The more complex high profile enables hierarchical B-frames with GOP sizes of 8 and context-based adaptive binary arithmetic coding (CABAC) quantization.
Table 1 Codec settings of the two profiles Profile Baseline High GOP size 1 (IPPP) 8 (hierarchical B-frames) Symbol mode CAVLC CABAC Search range 48 48 Intra-period 16 16 Quality level QP (30, 37) QP (30, 37).
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