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  2. Video Multimethod Assessment Fusion - Wikipedia

    en.wikipedia.org/wiki/Video_Multimethod...

    The metric is based on initial work from the group of Professor C.-C. Jay Kuo at the University of Southern California. [1] [2] [3] Here, the applicability of fusion of different video quality metrics using support vector machines (SVM) has been investigated, leading to a "FVQA (Fusion-based Video Quality Assessment) Index" that has been shown to outperform existing image quality metrics on a ...

  3. Video recorder scheduling code - Wikipedia

    en.wikipedia.org/wiki/Video_recorder_scheduling_code

    The code could also be entered into a dedicated remote control device that would then control the VCR. The number is generated by an algorithm from the date, time and channel of the programme; as a result, it does not rely on an over-the-air channel to serve as a conduit to ensure the recording is properly timed.

  4. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Product One-way Two-way MANOVA GLM Mixed model Post-hoc Latin squares; ADaMSoft: Yes Yes No No No No No Alteryx: Yes Yes Yes Yes Yes Analyse-it: Yes Yes No

  5. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    The predecessor of SSIM was called Universal Quality Index (UQI), or Wang–Bovik index, which was developed by Zhou Wang and Alan Bovik in 2001. This evolved, through their collaboration with Hamid Sheikh and Eero Simoncelli, into the current version of SSIM, which was published in April 2004 in the IEEE Transactions on Image Processing. [1]

  6. 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

  7. Visual information fidelity - Wikipedia

    en.wikipedia.org/wiki/Visual_information_fidelity

    Visual information fidelity (VIF) is a full reference image quality assessment index based on natural scene statistics and the notion of image information extracted by the human visual system. [1] It was developed by Hamid R Sheikh and Alan Bovik at the Laboratory for Image and Video Engineering (LIVE) at the University of Texas at Austin in 2006

  8. Subjective video quality - Wikipedia

    en.wikipedia.org/wiki/Subjective_video_quality

    The main idea of measuring subjective video quality is similar to the mean opinion score (MOS) evaluation for audio. To evaluate the subjective video quality of a video processing system, the following steps are typically taken: Choose original, unimpaired video sequences for testing; Choose settings of the system that should be evaluated

  9. Reference frame (video) - Wikipedia

    en.wikipedia.org/wiki/Reference_frame_(video)

    Reference frames are frames of a compressed video that are used to define future frames. As such, they are only used in inter-frame compression techniques. In older video encoding standards, such as MPEG-2, only one reference frame – the previous frame – was used for P-frames. Two reference frames (one past and one future) were used for B ...