A fast search algorithm for MPEG-4 video clips using adjacent pixel intensity difference quantization histogram feature

Feifei Lee, Koji Kotani, Qiu Chen, Tadahiro Ohmi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, a fast search algorithm for MPEG-4 video clips from large video database is proposed. An adjacent pixel intensity difference quantization (APIDQ) histogram is utilized as the feature vector of VOP (video object plane), which had been reliably applied to human face recognition previously. Instead of fully decompressed video sequence, partially decoded data, namely DC sequence of the video object are extracted from the video sequence. Combined with active search, a temporal pruning algorithm, fast and robust video search can be realized. The proposed search algorithm has been evaluated by total 6 hours of video contained of TV programs such as drama, talk, news, etc. to search for given 200 MPEG-4 video clips which each length is 15 seconds. Experimental results show the proposed algorithm can detect the similar video clip more accurately and robustly than conventional fast video search algorithm.

Original languageEnglish
Pages (from-to)43-51
Number of pages9
JournalInternational Journal of Digital Content Technology and its Applications
Volume6
Issue number10
DOIs
Publication statusPublished - 2012 Jun 1

Keywords

  • Adjacent pixel intensity difference quantization (APIDQ)
  • DC sequence
  • Fast search
  • Histogram feature
  • MPEG-4 video

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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