articleIEEE Transactions on Image ProcessingOct 22, 2009Closed access

Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos

Intel (United States) · The University of Texas at Austin

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Abstract

There has recently been a great deal of interest in the development of algorithms that objectively measure the integrity of video signals. Since video signals are being delivered to human end users in an increasingly wide array of applications and products, it is important that automatic methods of video quality assessment (VQA) be available that can assist in controlling the quality of video being delivered to this critical audience. Naturally, the quality of motion representation in videos plays an important role in the perception of video quality, yet existing VQA algorithms make little direct use of motion information, thus limiting their effectiveness. We seek to ameliorate this by developing a general,…

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708
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Authors

2

Topics & keywords

Keywords
  • Video quality
  • Computer science
  • Subjective video quality
  • Computer vision
  • Artificial intelligence
  • Fidelity
  • Image quality
  • Distortion (music)
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