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- W2887493273 abstract "With the evolution of video compression algorithms, transmission techniques as well as error concealment tools, benchmarking is essential to assess the performance of emerging techniques. This paper discusses the selection of test material in order to obtain a representative set of different scene characteristics. While the most common approach is relying on the Spatial Information and Temporal Information parameters, our results show that the spatio-temporal spectrum information can be used to classify sequences with high reliability while maintaining low computational complexity." @default.
- W2887493273 created "2018-08-22" @default.
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- W2887493273 date "2018-06-01" @default.
- W2887493273 modified "2023-09-25" @default.
- W2887493273 title "Spectrum-Based Approach to Classifying Video Sequences for Encoding Experiments" @default.
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- W2887493273 doi "https://doi.org/10.1109/iwssip.2018.8439344" @default.
- W2887493273 hasPublicationYear "2018" @default.
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