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Proceedings Article

No reference video quality estimation based on human visual system for 2.5/3G devices

[+] Author Affiliations
Francesco Massidda, Daniele D. Giusto, Cristian Perra

Univ. of Cagliari (Italy)

Proc. SPIE 5666, Human Vision and Electronic Imaging X, 168 (March 18, 2005); doi:10.1117/12.594032
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From Conference Volume 5666

  • Human Vision and Electronic Imaging X
  • Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly
  • San Jose, CA | January 17, 2005

abstract

2.5/3G devices should achieve satisfactory QoS, overcoming mobile standards drawbacks. In-service/blind quality monitoring is essential in order to improve perceptual quality according to Human Visual System. Several techniques have been proposed for image/video quality assessment. A novel no-reference quality index which uses an effective HVS model is proposed. Luminance masking, Contrast Sensitivity Function and temporal masking are taken into account with fast in-service algorithms. The proposed index is able to assess blockiness distortion with a fast image-domain measure. Compression/post-processing blurring effects are measured with a standard approach. Moving artifacts distortion is evaluated taking into account standard deviation with respect to a natural image statistical model. Several distortion effects, in wireless noisy channels with low video-streaming/playback bit rates (e.g. edge busyness and image persistence) are evaluated. A multi-level pooling algorithm (block, temporal-window, frame, and sequence levels) is used. Validation tests have been developed in order to assess index performance and computational complexity. The final measure provides human-like threshold-effect and high correlation with subjective data. Low complexity algorithms can be derived for real-time, HVS-based, QoS management for low-power consumer devices. Different distortion effects (e.g. ringing and jerkiness) can be easily included.

© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Francesco Massidda ; Daniele D. Giusto and Cristian Perra
"No reference video quality estimation based on human visual system for 2.5/3G devices", Proc. SPIE 5666, Human Vision and Electronic Imaging X, 168 (March 18, 2005); doi:10.1117/12.594032; http://dx.doi.org/10.1117/12.594032


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