A motion-flow-based fast video retrieval system

Chih Wen Su, Hong Yuan Mark Liao, Kuo Chin Fan, Chia Wen Lin, Hsiao Rong Tyan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

In this paper, we propose the use of motion vectors embedded in MPEG bitstreams to generate so-called "motionflows", which are applied them to perform quick video retrieval. By using the motion vectors directly, we do not need to consider the shape of a moving object and its corresponding trajectory. Instead, we simply "link" the local motion vectors across consecutive video frames to form motion flows, which are then annotated and stored in a video database. In the video retrieval phase, we propose a coarse-to-fine strategy to execute the video retrieval task. Motions that do not belong to the main-stream motion flows are filtered out by our proposed algorithm. The retrieval process can be triggered by query-by-sketch (QBS) or query-by-example (QBE). The experiment results show that our method is indeed efficient and accurate in the video retrieval process.

Original languageEnglish
Title of host publicationMIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005
PublisherAssociation for Computing Machinery, Inc
Pages105-112
Number of pages8
ISBN (Electronic)1595932445, 9781595932440
DOIs
StatePublished - 10 Nov 2005
Event7th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2005 - Singapore, Singapore
Duration: 10 Nov 200511 Nov 2005

Publication series

NameMIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005

Conference

Conference7th ACM SIGMM International Workshop on Multimedia Information Retrieval, MIR 2005
Country/TerritorySingapore
CitySingapore
Period10/11/0511/11/05

Keywords

  • Motion analysis
  • Video retrieval

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