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Why has my video streaming quality suddenly degraded and how can I fix a serious video quality downgrade?
...Bitrate determines the quality of a video stream.
A higher bitrate means a higher quality stream, but it also increases the file size.
The human eye can only process a certain amount of information at a time, which is known as the Shannon-Hartley theorem.
This means that any additional data will be discarded, resulting in a loss of quality.
The H.264 standard, used in most video streaming platforms, uses a variable bitrate, which can lead to a decrease in quality during moments of high demand.
When compressing a video, the first frame is given priority, as it is most visible to the human eye.
This is known as the "prime frame" concept.
The compression algorithm used by YouTube, VP9, has a higher compression ratio than H.264, which can lead to a loss of quality.
The Lagrangian relaxation algorithm, used in some video compression software, optimizes the compression process by minimizing the total cost of compression and decompression.
The psycho-acoustic model, used in audio compression, takes into account the human brain's ability to filter out certain frequencies, allowing for more efficient compression.
In video compression, the transform coding technique separates the image into a set of frequency components, making it easier to compress.
The wavelet transform, used in some video compression algorithms, decomposes the signal into various frequency sub-bands, allowing for more efficient compression.
The discrete cosine transform (DCT), used in most video compression algorithms, rearranges the coefficients to minimize the energy of the signal, making it easier to compress.
When encoding a video, the quantization process removes the least significant bits, reducing the file size but also introducing noise and artifacts.
Demosaicing, used in digital cameras, interpolates the missing color information by analyzing the neighboring pixels, improving the resulting video quality.
The Fourier transform, used in audio and video compression, decomposes the signal into its frequency components, making it easier to compress and decompress.
The fast Fourier transform (FFT), a variation of the Fourier transform, reduces the computational complexity, making it faster.
The JPEG image compression algorithm, used in digital cameras, reduces the file size by discarding the lesser-important color information.
Chroma subsampling, used in video compression, reduces the resolution of the color information, making it easier to compress.
The difference in human perception between 1080p and 4K is noticeable only in high-resolution displays and under specific conditions, such as dark environments.
The quality of a video is more dependent on the viewer's environment and hardware than the original video quality itself.
The use of different color spaces, such as RGB and YCbCr, can affect the perceived quality of a video.
Videos that are heavily dependent on motion, such as fast-paced action scenes, are more susceptible to quality degradation during compression.
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