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The bitstream adaptation process for scalable videos utilizes the scalability features of SVC streams in order to adapt the video stream according to the application controller's decision.
In particular, the architecture exhibits very high power efficiency and computational density and remarkable modularity and scalability features.
Dropping the first temporal layer results in similar scalability features as observed with IpP coding.
Thanks to its envisioned philosophy and design choices, AMBER provides modularity, flexibility, and scalability features.
Next, using the SVC high-level syntax, we proposed to combine ROI partitioning with common scalability features.
For this first set of simulations, no other scalability features, temporal or SNR, are used to differentiate the RTP streams.
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In order to meet any system needs, an optional and possible combination of the presented algorithm with high-order AC frequency DCT coefficients discarding techniques is also proposed, providing a flexible and often required complexity scalability feature and giving rise to an adaptable tradeoff between the involved scalable computational cost and the resulting video quality and bit rate.
This distinctly shows the scalability feature of the proposed trust management scheme.
Similar to the H.264/AVC standard, the temporal scalability feature is enabled in HEVC with a hierarchical temporal prediction structure.
This solution combines the multi-core parallelism of GPGPUs and the scalability feature provided by the Hadoop framework.
That is, at higher resolutions the total bit rate distribution for Reuter and Wineyard sequence can be more favorable for the temporal scalability feature introduced in this work.
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