Context reduction for last transform position coding
A context reduced last transform (CRLT) coding technique which enhances parallel context processing, such as utilized in JCTVC-D262, to reduce complexity by reducing the number of context models using for coding the position of the last significant transform coefficient. Selected context models are removed and additional bins are shared which reduce the number of contexts required. In one benchmark test for YUV 4:2:0 video, the number of context models were reduced from 120 for the proposed entropy encoding of JCTVC-D262 test model HM 2.0, versus 82 context models required for CRLT coding.
Sony Corporation
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Wei Cheung
Liu Auyeung