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- W39653973 abstract "Video indexing technique is crucial in multimedia applications. In the case of HD (High Definition) Video, the principle of scalability is of great importance. The wavelet decomposition used in the JPEG2000 standard provides this property. In this paper, we propose a scalable descriptor based on objects. First, a scalable moving object extraction method is constructed. Using the wavelet data, it relies on the combination of a robust global motion estimation with a morphological color segmentation at a low spatial resolution. It is then refined using the scalable order of data. Second, a descriptor is built only on the objects found at the previous step. This descriptor is based on multiscale histograms of wavelet coe cients of moving objects." @default.
- W39653973 created "2016-06-24" @default.
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- W39653973 date "2008-12-11" @default.
- W39653973 modified "2023-10-05" @default.
- W39653973 title "Scalable Object-Based Indexing of HD Videos: A JPEG2000- Oriented solution" @default.
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