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2. Video optimization - Wikipedia

   en.wikipedia.org/wiki/Video_optimization

   Video optimization refers to a set of technologies used by mobile service providers to improve consumer viewing experience by reducing video start times or re-buffering events. The process also aims to reduce the amount of network bandwidth consumed by video sessions.

3. x264 - Wikipedia

   en.wikipedia.org/wiki/X264

   x264 contains some psychovisual enhancements which aim to increase the subjective video quality of the encoded video.. Adaptive quantisation in two modes using VAQ.The second mode, a later addition, adapts the strength per frame in an attempt to improve the quality.

4. Comparison of video codecs - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_video_codecs

   The quality the codec can achieve is heavily based on the compression format the codec uses. A codec is not a format, and there may be multiple codecs that implement the same compression specification – for example, MPEG-1 codecs typically do not achieve quality/size ratio comparable to codecs that implement the more modern H.264 specification.

5. Video super-resolution - Wikipedia

   en.wikipedia.org/wiki/Video_super-resolution

   Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR) , the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency.

6. Video quality - Wikipedia

   en.wikipedia.org/wiki/Video_quality

   Video quality is a characteristic of a video passed through a video transmission or processing system that describes perceived video degradation (typically compared to the original video). Video processing systems may introduce some amount of distortion or artifacts in the video signal that negatively impact the user's perception of the system.

7. Perceptual Evaluation of Video Quality - Wikipedia

   en.wikipedia.org/wiki/Perceptual_Evaluation_of...

   Perceptual Evaluation of Video Quality (PEVQ) is an end-to-end (E2E) measurement algorithm to score the picture quality of a video presentation by means of a 5-point mean opinion score (MOS). It is, therefore, a video quality model. PEVQ was benchmarked by the Video Quality Experts Group (VQEG