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Feature-Based Intra-/InterCoding Mode Selection for H.264/AVC

Published: 01 April 2007 Publication History

Abstract

A fast feature-based intra/inter coding mode selection scheme for the H.264/AVC video coding standard is proposed in this paper. First, three features are extracted from a macroblock to form a feature space. Then, the feature space is partitioned into three regions, i.e., risk-free, risk-tolerable, and risk-intolerable regions, where the risk is calculated using the rate-distortion (RD) performance loss due to wrong mode decision as well as the probability distribution of inter/intra modes in the feature space obtained from an off-line training process. Depending on the region where the feature vector of a macroblock is located, we can apply mechanisms of different complexity for final mode decision. To calculate the likelihood function of the risk, both parametric and nonparametric density estimation schemes are developed to offer different rate-distortion-complexity tradeoffs. It is demonstrated by experimental results that the proposed algorithm can save approximately 20%-32% of the total encoding time of H.264 (JM7.3a) with little degradation in the rate-distortion performance

Cited By

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  • (2017)Modeling and Analysis of Power Consumption in Live Video Streaming SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/311550513:4(1-25)Online publication date: 18-Sep-2017
  • (2016)Fast CU Partitioning Algorithm for HEVC Using an Online-Learning-Based Bayesian Decision RuleIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.244467226:1(130-138)Online publication date: 1-Jan-2016
  • (2015)Machine Learning-Based Coding Unit Depth Decisions for Flexible Complexity Allocation in High Efficiency Video CodingIEEE Transactions on Image Processing10.1109/TIP.2015.241749824:7(2225-2238)Online publication date: 1-Jul-2015
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cover image IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology  Volume 17, Issue 4
April 2007
122 pages

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IEEE Press

Publication History

Published: 01 April 2007

Author Tags

  1. Bayes-risk minimization
  2. H264/AVC
  3. coding mode prediction
  4. density estimation
  5. encoder complexity
  6. mode decision

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Cited By

View all
  • (2017)Modeling and Analysis of Power Consumption in Live Video Streaming SystemsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/311550513:4(1-25)Online publication date: 18-Sep-2017
  • (2016)Fast CU Partitioning Algorithm for HEVC Using an Online-Learning-Based Bayesian Decision RuleIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.244467226:1(130-138)Online publication date: 1-Jan-2016
  • (2015)Machine Learning-Based Coding Unit Depth Decisions for Flexible Complexity Allocation in High Efficiency Video CodingIEEE Transactions on Image Processing10.1109/TIP.2015.241749824:7(2225-2238)Online publication date: 1-Jul-2015
  • (2015)A fast encoder of frame-compatible format based on content similarity for 3D distributionImage Communication10.1016/j.image.2015.03.00735:C(20-34)Online publication date: 1-Jul-2015
  • (2013)Aggregate power consumption modeling of live video streaming systemsProceedings of the 4th ACM Multimedia Systems Conference10.1145/2483977.2483983(60-71)Online publication date: 28-Feb-2013
  • (2009)Inter mode selection for H.264/AVC using time-efficient learning-theoretic algorithmsProceedings of the 16th IEEE international conference on Image processing10.5555/1819298.1819672(3377-3380)Online publication date: 7-Nov-2009
  • (2009)A hierarchical classification-based approach to inter mode decision in H.264/AVCProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1698980(221-224)Online publication date: 28-Jun-2009
  • (2009)Complexity control of H.264/AVC based on mode-conditional cost probability distributionsIEEE Transactions on Multimedia10.1109/TMM.2009.201293711:3(433-442)Online publication date: 1-Apr-2009
  • (2009)A statistical approach for fast mode decision in scalable video codingIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2009.203152019:12(1915-1920)Online publication date: 1-Dec-2009

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