Motion detection based motion estimation algorithm for video surveillance application

Jia Su, Qin Liu, Takeshi Ikenaga

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Large amounts of data have to be processed, transmitted and storage by modern video surveillance applications. Thus, low bit-rate video compressed algorithm is very critical. For indoor surveillance application, only motive object is the most interesting and significant part. This paper proposed a motion detection based motion estimation algorithm to achieve low bit-rate and low complexity for surveillance application. It includes a pre-stage for classifying macroblocks into motive and static blocks. For the unimportant static macroblock, low bitrate skip mode has been chosen as the best mode. Simulation results for indoor surveillance videos obtained 22%-28% bit-rate saving and 10%-36% ME time saving with no significant video quality loss.

本文言語English
ホスト出版物のタイトルISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
ページ481-484
ページ数4
DOI
出版ステータスPublished - 2009 12 1
外部発表はい
イベント2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009 - Kanazawa, Japan
継続期間: 2009 12 72009 12 9

出版物シリーズ

名前ISPACS 2009 - 2009 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings

Conference

Conference2009 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2009
CountryJapan
CityKanazawa
Period09/12/709/12/9

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Communication

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