Repository logo
  • Log In
Repository logo
  • Communities & Collections
  • All of DORA
  • Log In
  1. Home
  2. Browse by Author

Browsing by Author "Lele, Xie"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    ItemOpen Access
    Hybrid strategies for efficient intra prediction in spatial SHVC
    (IEEE, 2022-11-28) Wang, Dayong; Sun, Yu; Lu, Xin; Li, Weisheng; Lele, Xie; Zhu, Ce
    With multi-layer encoding and Inter-layer prediction, Spatial Scalable High Efficiency Video Coding (SSHVC) has extremely high coding complexity. It is very crucial to speed up its coding to promote widespread and cost-effective SSHVC applications. Specifically, we first reveal that the average RD cost of Inter-layer Reference (ILR) mode is different from that of Intra mode, but they both follow the Gaussian distribution. Based on this discovery, we apply the classic Gaussian Mixture Model and Expectation Maximization to determine whether ILR mode is the best mode thus skipping Intra mode. Second, when coding units (CUs) in enhancement layer use Intra mode, it indicates very simple texture is presented. We investigate their Directional Mode (DM) distribution, and divide all DMs into three classes, and then develop different methods with respect to classes to progressively predict the best DMs. Third, by jointly considering rate distortion costs, residual coefficients and neighboring CUs, we propose to employ the Conditional Random Fields model to early terminate depth selection. Experimental results demonstrate that the proposed algorithm can significantly improve coding speed with negligible coding efficiency losses.
Quick Links
  • De Montfort University Home
  • Library Learning Services
  • DMU Figshare (DMU's Data Repository)
Useful Links
  • Submission Guide
  • DMU Open Access Libguide
  • Take Down Policy
  • Connect with DORA

Kimberlin Library

De Montfort University
The Gateway
Leicester, LE1 9BH
0116 257 7042
justask@dmu.ac.uk

DSpace software copyright © 2002-2025 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback