Learning based signal quality assessment for multimedia communications
Manish Narwaria · 2012
Multimedia contents (including image/video, speech, audio, graphic and so on) can be affected by a wide variety of distortions during the process of acquisition, compression, processing, transmission, and reproduction which generally leads to loss of perceptual quality.As a result, signal quality assessment is an important component in today's multimedia communication systems.In this thesis, perceptual quality assessment algorithms are proposed for three important types of multimedia signals, namely image, video, and speech.This involves two crucial stages: (a) feature extraction/detection, and (b) feature pooling.