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This is a list of content-control software and services. The software is designed to control what content may or may not be viewed by a reader, especially when used to restrict material delivered over the Internet via the Web, e-mail, or other means.
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
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 ...
VBR is commonly used for video CD/DVD creation and video in programs. Bit rate control is suited to video streaming. For offline storage and viewing, it is typically preferable to encode at constant quality (usually defined by quantization) rather than using bit rate control. [1] [2]
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.
It provides scores in the range of 0–100, linearly matched to human subjective ratings. It also allows adapting the scores to the intended viewing device, comparing video across different resolutions and contents. According to its authors, SSIMPLUS achieves higher accuracy and higher speed than other image and video quality metrics.
It is, therefore, a video quality model. PEVQ was benchmarked by the Video Quality Experts Group (VQEG) in the course of the Multimedia Test Phase 2007–2008. Based on the performance results, in which the accuracy of PEVQ was tested against ratings obtained by human viewers , PEVQ became part of the new International Standard.
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