| Summary: | 碩士 === 國立交通大學 === 多媒體工程研究所 === 103 === The standard of MPEG-7 Compact Descriptor for Visual Search (CDVS) framework is the foundation of
the visual search component. However, the repeating structures throughout the indoor environment (e.g.
corridors) and locations with little visual features (e.g. uniform walls) can potentially lead to low accuracy
of the vision-based system. To cope with this issue, a probabilistic model is proposed to fuse the location associated image retrieval result by CDVS and the sensors readings on mobile device. Furthermore, an
entropy-based filter is designed to filter those input images without sufficient information gain.
Experiments show good results for the proposed system. Moreover, it is the rst time that the complete
MPEG-7 CDVS framework is implemented on mobile Android platform, which not only ensures the
proposed system can work in offline mode, but also demonstrates the future possibility on vision-based
indoor navigation system to standardize.
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