An efficient motion vector composition algorithm for fast-forward playback in a video streaming system

Chang Hong Fu, Tsz Kwan Lee, Yui Lam Chan, Wan Chi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


Fast-forward playback enables viewers to scan through the video scene of interest efficiently. One approach to realize fast-forward playback is to employ a frame-skipping transcoder which transcodes only the frames required for playback at the desired fast speed. Various motion vector composition algorithms are used to compose the new motion vectors with reduced complexity. These algorithms do not work well for dropping a large number of frames, which is very common in fast-forward playback. In this paper, a new multiple-candidate vector selection algorithm (MCVS) is proposed to select a composed motion vector from a set of candidate motion vectors, which utilizes relevant areas in the target macroblock to ensure a reliable tracking process for motion vector composition. Experimental results show that the proposed MCVS can provide fast-forward playback through video transcoding with significant gain, in terms of rate-distortion performance, especially when a large speed-up factor is required.
Original languageEnglish
Pages (from-to)939-947
Number of pages9
JournalJournal of Visual Communication and Image Representation
Issue number8
Publication statusPublished - 1 Nov 2010


  • Digital video browsing
  • Digital video cassette recording
  • Digital video coding
  • Fast-forward playback
  • Forward dominant vector selection
  • Frame-skipping video transcoding
  • Motion re-estimation
  • Motion vector composition

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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