NDLI: Spatial-Temporal Distortion Metrics for Video

Content Provider	IEEE Xplore Digital Library
Author	Chunting Yang Lian Zhao Zaiyi Liao
Copyright Year	2009
Abstract	Accurate objective quality metrics are of great potential benefit to the video industry, as they promise the means to evaluate the performance of acquisition, display, coding and communication systems. Many researchers have focused on developing digital video quality metrics which produce results that accurately emulate subjective responses. However, to be widely applicable a metric must also work over a wide range of quality, and be useful for in-service quality monitoring. We have developed novel spatial-temporal distortion metrics for video sequences. This metric is capable of capturing spatial distortions in video sequences, in addition to temporal artifacts. And it can quantify the spatial distortion and differentiate the type of distortion. Furthermore the metric correlate well with subjective quality measures because perception distortions of human were took account of. Results are presented that demonstrate our perceptual quality metric performs better than existing methods
Starting Page	19
Ending Page	23
File Size	418361
Page Count	5
File Format	PDF
ISBN	9780769535074
DOI	10.1109/CSIE.2009.606
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Video on demand PSNR subjective Video sequences Humans video quality metrics objective Degradation Video compression Quality assessment Distortion measurement spatial Monitoring temporal
Content Type	Text
Resource Type	Article

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