Motion flow-based video retrieval

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

Research output: Contribution to journalArticlepeer-review

64 Scopus citations


In this paper, we propose the use of motion vectors embedded in MPEG bitstreams to generate so-called "motion flows", which are applied to perform 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 recorded and stored in a video database. In the video retrieval phase, we propose a new matching strategy to execute the video retrieval task. Motions that do not belong to the mainstream motion flows are filtered out by our proposed algorithm. The retrieval process can be triggered by query-by-sketch or query-by-example. The experiment results show that our method is indeed superb in the video retrieval process.

Original languageEnglish
Pages (from-to)1193-1201
Number of pages9
JournalIEEE Transactions on Multimedia
Issue number6
StatePublished - Oct 2007


  • Motion analysis
  • Video retrieval


Dive into the research topics of 'Motion flow-based video retrieval'. Together they form a unique fingerprint.

Cite this