Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks

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• 关键词：HEVC ; Motion features ; Saliency feature ; Area of Interest (AOI) ; Intermode selection
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9431
• 期：1
• 页码：175-186
• 全文大小：4,049 KB
• 参考文献：1.High Efficiency Video Coding, document ITU-T Rec. H.265 and ISO/IEC 23008–2 (HEVC), ITU-T and ISO/IEC, April 2013
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  13.Podder, P., Paul, M., Murshed, M., Chakrabarty, S.: Fast intermode selection for HEVC video coding using phase correlation. In: IEEE International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp. 1–8 (2014)
  14.Paul, M., Lin, W., Lau, C.T., Lee, B.S.: Direct inter-mode selection for H.264 video coding using phase correlation. IEEE Trans. Image Process. 20(2), 461–473 (2011)MathSciNet CrossRef
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  17.Paul, M., Frater, M., Arnold, J.: An efficient mode selection prior to the actual encoding for H.264/AVC encoder. IEEE Trans. Multimedia 11(4), 581–588 (2009)CrossRef
  18.Podder, P., Paul, M., Murshed, M.: A novel motion classification based intermode selection strategy for HEVC performance improvement. Elsevier J. Neurocomputing 173(3), 1211–1220 (2016). doi:10.​1016/​j.​neucom.​2015.​08.​079 CrossRef
  19.Bjontegaard, G.: Calculation of average PSNR differences between RD curves. ITU-T SC16/Q6, VCEG-M33, Austin, USA (2001)
  
• 作者单位：Pallab Kanti Podder (17)
  Manoranjan Paul (17)
  Manzur Murshed (18)
  
  17. School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW, 2795, Australia
  18. School of Information Technology, Federation University, Churchill, VIC, 3842, Australia
  
• 丛书名：Image and Video Technology
• ISBN：978-3-319-29451-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Introducing a number of innovative and powerful coding tools, the High Efficiency Video Coding (HEVC) standard promises double compression efficiency, compared to its predecessor H.264, with similar perceptual quality. The increased computational time complexity is an important issue for the video coding research community as well. An attempt to reduce this complexity of HEVC is adopted in this paper, by efficient selection of appropriate block-partitioning modes based on motion features and the saliency applied to the difference between successive image blocks. As this difference gives us the explicit visible motion and salient information, we develop a cost function by combining the motion features and image difference salient feature. The combined features are then converted into area of interest (AOI) based binary pattern for the current block. This pattern is then compared with a previously defined codebook of binary pattern templates for a subset of mode selection. Motion estimation (ME) and motion compensation (MC) are performed only on the selected subset of modes, without exhaustive exploration of all modes available in HEVC. The experimental results reveal a reduction of 42 % encoding time complexity of HEVC encoder with similar subjective and objective image quality.