Multiple reference frame motion re-estimation for H.264/AVC frame-skipping transcoding with zonal search

Jhong Hau Jiang, Yu Ming Lee, Yinyi Lin

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this paper we propose an efficient multiple reference frame motion re-estimation for H.264/AVC frame-skipping transcoding. In the proposed algorithm, all information including reference frame number, motion vector etc. in original H.264/AVC-coded videos are reused when the original reference frame is not skipped; while an efficient multiple reference frame motion re-estimation is employed when the reference frame is dropped. The neighboring reference frames around the skipped reference frame are selected for motion re-estimation, and in addition a zonal search method is used for motion re-estimation. The experimental results reveal that average 87% of computation time (corresponding to a speed-up factor of 8) can be saved for the proposed H.264 frame-skipping transcoding algorithm, when compared with fully decoding/encoding procedure. The degradation in the rate-distortion performance is fairly small.

Original languageEnglish
Title of host publicationThe Era of Interactive Media
PublisherSpringer New York
Pages189-203
Number of pages15
Volume9781461435013
ISBN (Electronic)9781461435013
ISBN (Print)1461435005, 9781461435006
DOIs
StatePublished - 1 Oct 2013

Keywords

  • H.264/AVC
  • Multiple reference frame motion estimation
  • Prediction motion vector

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