Topic
Video quality
About: Video quality is a research topic. Over the lifetime, 13143 publications have been published within this topic receiving 178307 citations.
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TL;DR: An efficient reduced-reference video quality assessment method based on local harmonic strength (LHS) feature, which is based on harmonics gain and loss information derived through the discriminative analysis of harmonics strength computed from gradient pictures, is presented.
Abstract: We present an efficient reduced-reference video quality assessment method based on local harmonic strength (LHS) feature. LHS is based on harmonics gain and loss information derived through the discriminative analysis of harmonics strength computed from gradient pictures. Harmonics gain and loss correspond with the two most prominent compression artifacts, namely blockiness and blurriness. To make the method effective for continuous monitoring of video quality, it is necessary to minimize the reduced-reference overhead data whilst keeping the accuracy of the quality meter sufficiently high. For the LHS-based method, we recommend quantization of the LHS feature, temporal sampling, and block selection method, either with or without segmentation-based block classification. A typical reduced-reference low overhead data rate (around 160-400 bps) with good prediction performance (0.86-0.88 Pearson correlations against mean opinion score) for broadcast type video sequences in VQEG Test Phase-I data sets has been achieved by the proposed method.
44 citations
07 Nov 2009
TL;DR: A no-reference temporal qualitymetric is described to model the impact of frame freezing impairments on perceived video quality and shows a high correlation with subjective data.
Abstract: This paper describes a no-reference temporal qualitymetric to model the impact of frame freezing impairments on perceived video quality. The proposed metric shows a high correlation with subjective data and is equally applicable to any type of objective video quality assessment model: full-reference, reduced-reference or no-reference. This temporal metric is a parameter of the video quality assessment algorithmin ITU-T Recommendation J.247 Annex C for the objective perceptual quality measurement of multimedia video.
44 citations
26 Aug 2008
TL;DR: The experimental results show that the proposed frame concealment scheme performs better than applying error concealment for colour and depth map video separately in a range of packet error conditions.
Abstract: Stereoscopic video is one of the simplest forms of multi view video, which can be easily adapted for communication applications. Much current research is based on colour and depth map stereoscopic video, due to its reduced bandwidth requirements and backward compatibility. Existing immersive media research is more focused on application processing than aspects related to transfer of immersive content over communication channels. As video over packet networks is affected by missing frames, caused by packet loss, this paper proposes a frame concealment method for colour and depth map based stereoscopic video. The proposed method exploits the motion correlation of colour and depth map image sequences. The colour motion information is reused for prediction during depth map coding. The redundant motion information is then used to conceal transmission errors at the decoder. The experimental results show that the proposed frame concealment scheme performs better than applying error concealment for colour and depth map video separately in a range of packet error conditions.
44 citations
01 Jan 2002
TL;DR: A range of new assessment methods that have been developed in research contexts over the past few years are described and demonstrated, and a discussion of their suitability for use in different evaluation contexts are discussed.
Abstract: The aim of the tutorial is to introduce participants to new methods for establishing audiovisual quality requirements for a range of realtime multimedia applications Until recently, there were few HCI-specific methods for assessing audio and video quality and the usability of videoconferencing systems The tutorial will survey methods commonly used in the telecommunications industry, and explain why these are usually not suitable for assessing usability of audio and video The main part of the tutorial consists of description and demonstration of a range of new assessment methods that have been developed in research contexts over the past few years, and a discussion of their suitability for use in different evaluation contexts As well as methods for measuring task performance and user satisfaction, we will cover innovative approaches to assessing the impact on user behaviour and user cost such as eye-tracking and physiological responses and the way in which users communicate with each other
44 citations
TL;DR: An energy-based approach is employed to measure this motion-compensated edge artifact, using both compressed bitstream information and decoded pixels and shows results that accurately estimate the percentage of the added HF energy in compressed video.
Abstract: Little attention has been paid to an impairment common in motion-compensated video compression: the addition of high-frequency (HF) energy as motion compensation displaces blocking artifacts off block boundaries. In this paper, we employ an energy-based approach to measure this motion-compensated edge artifact, using both compressed bitstream information and decoded pixels. We evaluate the performance of our proposed metric, along with several blocking and blurring metrics, on compressed video in two ways. First, ordinal scales are evaluated through a series of expectations that a good quality metric should satisfy: the objective evaluation. Then, the best performing metrics are subjectively evaluated. The same subjective data set is finally used to obtain interval scales to gain more insight. Experimental results show that we accurately estimate the percentage of the added HF energy in compressed video
44 citations