NDLI: Fast diamond search algorithm for real time video coding

Content Provider	IEEE Xplore Digital Library
Author	Ismail, Y. El-etriby, S.
Copyright Year	2012
Description	Author affiliation: The Center of Research Excellence in Hajj and Omrah, Umm Al-Qura University - KSA (Ismail, Y.; El-etriby, S.)
Abstract	A Fast Diamond Search (FDS) algorithm based on the conventional Diamond Search (DS) algorithm is proposed. Two computationally efficient algorithms are applied to the conventional DS in order to reduce the computations with an acceptable degradation in the coding efficiency. The first algorithm is the Internal Stop Search (ISS) that is used to reduce the internal redundant SAD (Sum of Absolute Difference) operations between both the current and the reference blocks. The second algorithm is the External Stop Search (ESS) that is used to skip the unnecessary operations by skipping all the irrelevant blocks in the search area. Both of these algorithms use adaptive models that accurately remove the unnecessary operations considering small degradation in the coding efficiency. In addition, early search termination and adaptive pattern selections techniques are applied to the proposed FDS as initialization steps to achieve even higher complexity reduction. Experiments show that the proposed FDS algorithm reduces the computations greatly up to 99% and 20% compared to the conventional FS algorithm and DS respectively.
Starting Page	729
Ending Page	733
File Size	195026
Page Count	5
File Format	PDF
ISBN	9781467300087
e-ISBN	9781467300094
e-ISBN	9781467307239
DOI	10.1109/ICCNC.2012.6167518
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis PSNR Motion estimation Video sequences Signal processing algorithms Diamond Search Diamond-like carbon H.264/AVC Fast Motion Estimation Computational complexity
Content Type	Text
Resource Type	Article

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