Sentence examples for source distortions from inspiring English sources

The 16 different adjustable sequences contained different levels of source distortions (i.e., each one encoded with different QP).

However, the question is impossible to answer, if we cannot reliably compare the subjective quality degradations caused by channel and source distortions, respectively.

D Q denotes the source distortion due to the quantization.

Most of the existing objective quality metrics have been evaluated using primarily sequences with source distortion.

In both studies, the intention was to compare the relative performance of objective quality metrics when sequences may contain either source distortion or both source and channel distortions.

In practice, source distortion can often be decreased at the cost of increased channel distortion, and vice versa.

In video streaming applications, visual quality is often affected by two generic, but fundamentally different types of quality distortion: source distortion and channel distortion.

Conventional end-to-end distortion models for videos measure the overall distortion based on independent estimations of the source distortion and the channel distortion.

According to the information theory [40], video source distortion can be minimized by increasing the effective encoding rate.

Source distortion is derived from video compression that is necessary to comply with the bandwidth limitations of the communication system.

Different from the independent estimation in conventional MSE-based end-to-end distortion model, the perceptual error propagation depends on the source distortion or the concealment distortion.