Effects of an Encoding Scheme on Perceived Video Quality Transmitted Over Lossy Internet Protocol Networks

Analysis of the impact of temporal, spatial, and quantization variations on perceptual video quality

“…Similar results can be observed in the study reported in reference [7]. Impact of encoding strategy on the quality of MPEG-2 encoded videos, QCIF and CIF, while transmitted over lossy network has been investigated in [8]. It has there been observed that videos with high spatial activity are perceptually preferred with higher spatial resolution, and videos with higher temporal activity are preferred in full framerates.…”

A concise review of the quality of experience assessment for video streaming

“…Other parameters can be collected from: the application layer, which includes display size and device resolution; the network layer, which typically includes packet loss rate, delay, and jitter; and the contents layer, which includes frame rate, bitrate, spatial resolution, and temporal information. To increase the accuracy of the video quality predictor, it is possible to apply techniques such as principal component analysis (PCA) [52], canonical discriminant analysis (CDA) [53] or rough set theory (RST) [54]. Regressionbased models, artificial neural networks (ANN), and fuzzy logic are also common methods employed during the creation of a video quality predictor [55].…”

Multimedia Traffic over Wireless and Satellite Networks

“…As a consequence, there is a continuous and extensive research effort, by both industry and academia, to find solutions for improving the quality of multimedia content delivered to the users; as well, international standards bodies, such as the International Telecommunication Union (ITU), are renewing their effort on the standardization of multimedia technologies. There are very different directions in which research has attempted to find solutions in order to improve the quality of the rich media content delivered over various network types [5,6,7,8,9]. Moreover, it is very important to determine efficient quality assessment.…”