Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74195
Title: Adaptive search range by depth variant decaying weights for HEVC inter texture coding
Authors: Lee, TK 
Chan, YL 
Siu, WC 
Keywords: Adaptive search range
Complexity reduction
Depth intensity
High-efficiency video coding
Motion estimation
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: Proceedings - IEEE International Conference on Multimedia and Expo, 2017, 8019346, p. 1249-1254 How to cite?
Abstract: Emerging high-efficiency video coding (HEVC) outperforms H.264 by a gain of 50% bitrate reduction while maintaining almost the same perceptual quality. However, it induces higher coding complexity due to its adoption of recursive block partitioning mechanism in motion estimation (ME) with a fixed search range. For an objective of reducing the computational burden in HEVC, this paper proposes an adaptive search range algorithm by using depth map information. With the aid of depth intensity variations among neighboring blocks, associated weights to the neighboring blocks are derived. The proposed weighted sum of the motions from the neighboring blocks is formulated to provide a suitable search range for each block. The simulation results demonstrated that proposed adaptive search range is compatible to not only full-search (FS) but also fast Test Zone Search (TZS) in HEVC. The proposed algorithm could reduce significant coding time on average with negligible rate-distortion degradation.
URI: http://hdl.handle.net/10397/74195
ISBN: 9781509060672
ISSN: 1945-7871
DOI: 10.1109/ICME.2017.8019346
Appears in Collections:Conference Paper

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