A fast mode decision algorithm applied to coarse-grain quality scalable video coding

Publication Type:
Journal Article
Citation:
Journal of Visual Communication and Image Representation, 2014, 25 (7), pp. 1631 - 1639
Issue Date:
2014-01-01
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© 2014 Elsevier Inc. All rights reserved. A fast mode decision algorithm is proposed for a Coarse-Grain Scalable (CGS) video encoder based on the encoding characteristics of quality Scalable Video Coding (SVC). First, candidate modes and coding orders are predicted, based on inter-layer and spatial correlations. Three early termination methods are then proposed based on CGS encoding structure. Finally, all candidate modes are checked sequentially, according to their predicted order with three early termination conditions, to improve the coding speed. Experimental results have demonstrated that the proposed algorithm could reduce the encoding time by an average of 84.39%, with negligible coding efficiency losses.
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