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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 ...
Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
A five-level scale for rating quality. Absolute Category Rating (ACR) is a test method used in quality tests. [1] [2] The levels of the scale are, sorted by quality in decreasing order: Excellent; Good; Fair; Poor; Bad; In this method, a single test condition (generally an image or a video sequence) is presented to the viewers once only.
Video Transcoding Web Interface DLNA support Multilingual [a] Implementation Subtitles [b] Still Supported Misc. 360 Media Server: GPL Free No Yes Yes Yes No No Yes Yes Unknown Unknown Java Unknown No ALLMediaServer [1] GPL Trialware: No No Yes Yes Yes Yes Yes No Yes Yes Delphi/Python Yes Yes ArkMS: Prop. Non-free Yes No No Yes Yes Yes No ...
The window can be displaced pixel-by-pixel on the image to create an SSIM quality map of the image. In the case of video quality assessment, [6] the authors propose to use only a subgroup of the possible windows to reduce the complexity of the calculation.
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.
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