Adaptive search range by neighbouring depth intensity weighted sum for HEVC texture coding

Lee, T.-K., Chan, Y.-L. and Siu, W.-C. 2016, Adaptive search range by neighbouring depth intensity weighted sum for HEVC texture coding, Electronics Letters, vol. 52, no. 12, pp. 1018-1020, doi: 10.1049/el.2016.0261.

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Title Adaptive search range by neighbouring depth intensity weighted sum for HEVC texture coding
Author(s) Lee, T.-K.ORCID iD for Lee, T.-K. orcid.org/0000-0003-4176-2215
Chan, Y.-L.
Siu, W.-C.
Journal name Electronics Letters
Volume number 52
Issue number 12
Start page 1018
End page 1020
Total pages 2
Publisher Institution of Engineering and Technology
Place of publication Stevenage, Eng.
Publication date 2016-06-09
ISSN 0013-5194
1350-911X
Keyword(s) Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
conjugate gradient methods
Butterworth filters
second-order charge-sampling structure
passive scheme
complex conjugate poles
extra active element
feedback mechanism
Butterworth filter
Summary High-efficiency video coding (HEVC) outperforms H.264/AVC by providing a bitrate reduction of about 50% while having almost the same perceptual quality. It adopts more flexible partitioning in motion estimation (ME) which gains higher coding efficiency at a cost of increased coding complexity. Depth maps in the emerging multi-view plus depth videos are exploited to adjust the search range in ME for HEVC complexity reduction. With the aid of depth intensity variations among neighbouring blocks, the proposed algorithm derives weights to the neighbouring blocks and establishes an adaptive search range according to the weighted sum of the motion vectors from the neighbouring blocks. Compared with the fast test zone (TZS) search in HEVC, the proposed algorithm saves 65% coding time in ME on average with insignificant rate-distortion degradation.
Language eng
DOI 10.1049/el.2016.0261
Indigenous content off
Field of Research 0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C2.1 Other contribution to refereed journal
Copyright notice ©2016, Institution of Engineering and Technology
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131743

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