Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding

In heterogeneous network environments, it is mandatory to measure the grade of the video quality in order to guarantee the optimal quality of the video streaming service. Quality of Service (QoS) has become a key issue for service acceptability and user satisfaction. Although there have been many recent works regarding video quality, most of them have been limited to measuring quality within temporal and Signal-to-Noise Ratio (SNR) scalability. H.264/AVC Scalable Video Coding (SVC) has emerged and has been developed to support full scalability. This includes spatial, temporal, and SNR scalability, each of which shows different visual effects. The aim of this paper is to define and develop a novel video quality metric allowing full scalability. It focuses on the effect of frame rate, SNR, the change of spatial resolution, and motion characteristics using subjective quality assessment. Experimental results show the proposed quality metric has a high correlation to subjective quality and that it is useful in determining the video quality of SVC.

[1]  Iain E. Garden Richardson,et al.  A new perceptual quality metric for compressed video , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Andrew Perkis,et al.  MPEG-21: The 21st century multimedia framework , 2003, IEEE Signal Process. Mag..

[3]  Rosario El-Feghali,et al.  Video Quality Metric for Bit Rate Control via Joint Adjustment of Quantization and Frame Rate , 2007, IEEE Transactions on Broadcasting.

[4]  S.E. El-Khamy,et al.  New trends in high resolution image processing , 2004, The Fourth Workshop on Photonics and Its Application, 2004..

[5]  Frédéric Dufaux,et al.  Constrained bit-rate control for very low bit-rate streaming-video applications , 2001, IEEE Trans. Circuits Syst. Video Technol..

[6]  Chee Sun Won,et al.  Efficient use of local edge histogram descriptor , 2000, MULTIMEDIA '00.

[7]  Rosario El-Feghali,et al.  Quality metric for video sequences with temporal scalability , 2005, IEEE International Conference on Image Processing 2005.

[8]  Satu Jumisko-Pyykkö,et al.  Evaluation of subjective video quality of mobile devices , 2005, MULTIMEDIA '05.

[9]  Markus Rupp,et al.  Quality assessment for H.264 coded low-rate and low-resolution video sequences , 2004, Communications, Internet, and Information Technology.

[10]  Stefan Winkler,et al.  Perceptual distortion metric for digital color video , 1999, Electronic Imaging.

[11]  Stefan Winkler,et al.  Video quality evaluation for mobile streaming applications , 2003, Visual Communications and Image Processing.

[12]  Shih-Fu Chang,et al.  Video Adaptation: Concepts, Technologies, and Open Issues , 2005, Proceedings of the IEEE.

[13]  M. Angela Sasse,et al.  Can small be beautiful?: assessing image resolution requirements for mobile TV , 2005, MULTIMEDIA '05.

[14]  M. Angela Sasse,et al.  Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video , 2004, CHI '04.

[15]  Yong Man Ro,et al.  Bit-stream extraction to maximize perceptual quality using quality information table in SVC , 2006, Electronic Imaging.

[16]  Markus Rupp,et al.  Assessment of H.264 coded panorama sequences , 2005, 2005 1st International Conference on Multimedia Services Access Networks, 2005. MSAN '05..

[17]  Hwangjun Song,et al.  Rate control for low-bit-rate video via variable-encoding frame rates , 2001, IEEE Trans. Circuits Syst. Video Technol..

[18]  Weisi Lin,et al.  Low bit rate quality assessment based on perceptual characteristics , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).