Audio-visual quality estimation

TL;DR: In this paper, a method for assessing the quality of a stream of frames of video data comprises receiving a sequence of packets, extracting a set of parameters from said sequence of packet and generating an estimated mean opinion score, wherein the video data comprise a slice level and wherein the extracted set of parameter comprises at least one parameter that refers to a video slice level.

TL;DR: In this paper, the authors present a system that incorporates teachings of the present disclosure may include, for example, obtaining regression coefficients that quantify a relationship between premises feedback and first network and premises performance indicators, obtaining second network performance indicators for the network elements, and predicting customer complaints by applying the obtained regression coefficients to at least the second-network performance indicators and second-premise performance indicators.

TL;DR: In this article, a video data quality assessment method consisting of the following steps: acquiring a compression distortion parameter of video data; acquiring a frame damage distortion parameter; calculating a video quality parameter according to the compression distortion parameters and the frame damage parameters; and calculating the frame impairment distortion parameters of the video data.

TL;DR: In this paper, a method for measuring quality of packetized audio and video transmission over a transmission chain includes: providing one or more measurement detectors along the transmission chain, detecting loss of bit stream packets at one or multiple measurement points; determining the unique identifier for each detected lost packet; sending a list of lost packet identifiers to a central monitoring system; constructing a simulated stream for each measurement point based on a stored error-free stream and the received lost packet identifier.

TL;DR: In this article, a multi-modal quality estimation unit (MQU) was proposed to estimate a video quality value on the basis of an audio quality evaluation value (21A) and a video QU (21B).

TL;DR: In this paper, a demultiplexer, a bitstream quality analyzer, and a graphical user interface are used to monitor the video elementary bitstream at varying levels of detail.

TL;DR: In this article, a method for objectively and non-intrusively measuring the audio-visual quality of a destination audio-video signal that generates measurement parameters that are indicative of human image quality perceptions is presented.

TL;DR: In this article, a measure of quality of compressed video signals is obtained without reference to the original uncompressed version, but generated directly from the coded image parameters, thereby avoiding the need to decode the compressed signal.