DOI QR코드

DOI QR Code

Classification of Degradation Types Based on Distribution of Blocky Blocks for IP-Based Video Services

  • Min, Kyung-Yeon (Department of Computer Engineering, Kwangwoon University) ;
  • Lee, Seon-Oh (Department of Computer Engineering, Kwangwoon University) ;
  • Sim, Dong-Gyu (Department of Computer Engineering, Kwangwoon University) ;
  • Lee, Hyun-Woo (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI) ;
  • Ryu, Won (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI) ;
  • Lee, Kyoung-Hee (Broadcasting & Telecommunications Convergence Research Laboratory, ETRI)
  • Received : 2010.07.22
  • Accepted : 2010.09.10
  • Published : 2011.06.30

Abstract

In this letter, we propose a new quality measurement method to identify the causes of video quality degradation for IP-based video services. This degradation mainly results from network performance issues and video compression. The proposed algorithm identifies the causes based on statistical feature values from blocky block distribution in degraded IP-based videos. We found that the sensitivity and specificity of the proposed algorithm are 93.63% and 91.99%, respectively, in comparison with real error types and subjective test data.

Keywords

References

  1. Z. Wang, H.R. Sheikh, and A.C. Bovik, "No-Reference Perceptual Quality Assessment of JPEG Compressed Images," Conf. Image Process., vol. 1, no. 1, Sept. 2002, pp. 477-480.
  2. K.-S. Jung, S.-O. Lee, and D.-G. Sim, "Perceptual Quality Assessment Method Based on the Parameter Extraction from H.264/AVC Bitstream," IMQA, Kyoto, Japan, Sept. 2008.
  3. S. Qiu, H. Rui, and L. Zhang, "No-Reference Perceptual Quality Assessment for Streaming Video Based on Simple End-to-End Network Measure," ICNS, vol. 1, no. 1, July 2006, pp. 53-53.
  4. S. Winkler and R. Campos, "Video Quality Evaluation for Internet Streaming Applications." Proc. SPIE/IS&T Human Vision and Electron. Imaging, vol. 5007, Jan. 2003, pp. 104-115.
  5. Y. Kawayoke and Y. Horita, "NR Objective Continuous Video Quality Assessment Model Based on Frame Quality Measure," Proc. ICIP, 2008.