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A motion-flow-based fast video retrieval system
Conference paper

A motion-flow-based fast video retrieval system

Chih-Wen Su, Hong-Yuan Mark Liao, Kuo-Chin Fan, Chia-Wen Lin and Hsiao-Rong Tyan
MIR 2005 - Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, Co-located with ACM Multimedia 2005, pp.105-112
11/2005

Abstract

Motion analysis Video retrieval Computer Science Applications Information Systems Signal Processing Software Media Technology
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.

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