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A motion-flow-based fast video retrieval system
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Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval table of contents
Hilton, Singapore
POSTER SESSION: Poster session 1: video annotation, indexing and retrieval table of contents
Pages: 105 - 112  
Year of Publication: 2005
ISBN:1-59593-244-5
Authors
Chih-Wen Su  National Central University, Taiwan
Hong-Yuan Mark Liao  Academia Sinica, Taiwan
Kuo-Chin Fan  National Central University, Taiwan
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we propose the use of motion vectors embedded in MPEG bitstreams to generate so-called "motion-flows", 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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Chih-Wen Su: colleagues
Hong-Yuan Mark Liao: colleagues
Kuo-Chin Fan: colleagues