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  4. Pattern-based integer sample motion search strategies in the context of HEVC
 
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2015
Conference Paper
Title

Pattern-based integer sample motion search strategies in the context of HEVC

Abstract
The H.265/MPEG-H High Efficiency Video Coding (HEVC) standard provides a significant increase in coding efficiency compared to its predecessor, the H.264/MPEG-4 Advanced Video Coding (AVC) standard, which however comes at the cost of a high computational burden for a compliant encoder. Motion estimation (ME), which is a part of the inter-picture prediction process, typically consumes a high amount of computational resources, while significantly increasing the coding efficiency. In spite of the fact that both H.265/MPEG-H HEVC and H.264/MPEG-4 AVC standards allow processing motion information on a fractional sample level, the motion search algorithms based on the integer sample level remain to be an integral part of ME. In this paper, a flexible integer sample ME framework is proposed, thereby allowing to trade off significant reduction of ME computation time versus coding efficiency penalty in terms of bit rate overhead. As a result, through extensive experimentation, an integer sample ME algorithm that provides a good trade-off is derived, incorporating a combination and optimization of known predictive, pattern-based and early termination techniques. The proposed ME framework is implemented on a basis of the HEVC Test Model (HM) reference software, further being compared to the state-of-the-art fast search algorithm, which is a native part of HM. It is observed that for high resolution sequences, the integer sample ME process can be speed-up by factors varying from 3.2 to 7.6, resulting in the bit-rate overhead of 1.5% and 0.6% for Random Access (RA) and Low Delay P (LDP) configurations, respectively. In addition, the similar speed-up is observed for sequences with mainly Computer-Generated Imagery (CGI) content while trading off the bit rate overhead of up to 5.2%.
Author(s)
Maier, Georg  
Bross, B.
Grois, D.
Marpe, D.
Schwarz, H.
Veltkamp, R.C.
Wiegand, T.
Mainwork
Applications of Digital Image Processing XXXVIII  
Conference
Conference "Applications of Digital Image Processing" 2015  
Open Access
File(s)
Download (493.89 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-r-389147
10.1117/12.2193679
Language
English
Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut HHI  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • video compression

  • motion estimation

  • inter-picture prediction

  • H.265

  • MPEG-H

  • HEVC

  • integer sample motion search

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