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We present a product database modeling and implementation methodology for manufacturing information systems, called requirements-data-object-lifecycle (RDOL) methodology. The proposed RDOL methodology consists of specification phase, analysis phase and implementation phase. In specification phase, four views are used to specify manufacturing requirements. In analysis phase, we need to analysis and...
This paper proposes an advanced spatially scalable video coding approach that exploits the inter layer correlation between different resolution layers by classified patch learning. The novelty of our proposed scheme is twofold. First, the correlation between low and high resolution frames is explored at patch level with regard to image features. Patches extracted from the previous coded frame are...
This paper proposes a novel fractional compensation approach for spatial scalable video coding. It simultaneously exploits inter layer correlation and intra layer correlation by learning-based mapping. Instead of using an enhancement layer reconstruction as an entire reference, a set of reference pairs are generated from high-frequency components of both base layer and enhancement layer reconstructions...
Example-based super-resolution recovers missing high frequencies in a magnified image by learning the correspondence between co-occurrence examples at two different resolution levels. As high-resolution examples usually contain more details and are of higher dimensionality in comparison with low-resolution ones, the mapping from low-resolution to high-resolution is an ill-posed problem. Rather than...
We present a new error concealment algorithm for spatially scalable video coding with frame loss in the enhancement layer, based on the technique of hallucination. For a lost enhancement layer frame, the error concealment is done as hallucinating its base layer frame, using the database trained from previously decoded frames nearby to the lost one. Simulation results show that the proposed method...
We propose a new error concealment method based on hallucination for Scalable Video Coding with spatial scalability. In this method, parts of the frames which lose the enhancement layer are up-sampled from base layer and ldquohallucinatedrdquo as concealment frames. The database for hallucination is generated from the high-resolution and low-resolution frame-pairs near the lost frames in the video...
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