Video Texture and Motion based Modeling of Rate Variability-Distortion (VD) Curves of I, P, and B Frames

We examine the bit rate variability-distortion (VD) curve of I, P, and B frames of MPEG-4 VBR encoded video sequences. We show that the concave VD curve shape at high compression ratios or large quantization scales, is influenced by both the texture and the motion information. We use linear and quadratic models for the texture and motion bits statistics and devise accurate VD curve models. The model parameters are obtained from statistics that are estimated from two encodings. This work extends our previous work on modeling the VD curve, which has applications for optimal statistical multiplexing of VBR streaming video

[1]  Mohammed Ghanbari,et al.  Components of bit-rate variation in videoconference signals , 1989 .

[2]  A. Robinson,et al.  The influence of scene content on bit-rate variations in ATM video , 1992 .

[3]  Martin Vetterli,et al.  Joint source/channel coding of statistically multiplexed real-time services on packet networks , 1993, TNET.

[4]  T. V. Lakshman,et al.  Source models for VBR broadcast-video traffic , 1994, Proceedings of INFOCOM '94 Conference on Computer Communications.

[5]  J. Walrand,et al.  RCBR: A Simple and Efficient Service for Multiple Time-Scale Traffic , 1995 .

[6]  Wei Ding,et al.  Rate control of MPEG video coding and recording by rate-quantization modeling , 1996, IEEE Trans. Circuits Syst. Video Technol..

[7]  J. Jordan,et al.  Analysis, modelling and performance prediction of digital video statistical multiplexing , 1997 .

[8]  Wenjun Luo,et al.  Quality Control for VBR Video over ATM Networks , 1997, IEEE J. Sel. Areas Commun..

[9]  Fouad A. Tobagi,et al.  Performance Evaluation of ATM Networks Carrying Constant and Variable Bit-Rate Video Traffic , 1997, IEEE J. Sel. Areas Commun..

[10]  G. Keesman,et al.  Benefits of statistical multiplexing in multi-program broadcasting , 1997 .

[11]  Tihao Chiang,et al.  A new rate control scheme using quadratic rate distortion model , 1997, IEEE Trans. Circuits Syst. Video Technol..

[12]  Hsueh-Ming Hang,et al.  Source model for transform video coder and its application. I. Fundamental theory , 1997, IEEE Trans. Circuits Syst. Video Technol..

[13]  Donald F. Towsley,et al.  Smoothing, Statistical Multiplexing, and Call Admission Control for Stored Video , 1997, IEEE J. Sel. Areas Commun..

[14]  Antonio Ortega,et al.  Bit-rate control using piecewise approximated rate-distortion characteristics , 1998, IEEE Trans. Circuits Syst. Video Technol..

[15]  Gary J. Sullivan,et al.  Rate-distortion optimization for video compression , 1998, IEEE Signal Process. Mag..

[16]  Benjamin Melamed,et al.  Modeling full-length VBR video using Markov-renewal-modulated TES models , 1998, IEEE J. Sel. Areas Commun..

[17]  Armand M. Makowski,et al.  Modeling video traffic using M/G/∞ input processes: a compromise between Markovian and LRD models , 1998, IEEE J. Sel. Areas Commun..

[18]  Wei Zhao,et al.  Scheduling and bandwidth allocation for the distribution of archived video in VOD systems , 1998, Telecommun. Syst..

[19]  Antonio Ortega,et al.  Rate-distortion methods for image and video compression , 1998, IEEE Signal Process. Mag..

[20]  Amy R. Reibman,et al.  Modeling one- and two-layer variable bit rate video , 1999, TNET.

[21]  Pedro Cuenca,et al.  An efficient protocol architecture for error-resilient MPEG-2 video communications over ATM networks , 1999 .

[22]  Pascal Frossard,et al.  Joint source/FEC rate selection for quality-optimal MPEG-2 video delivery , 2001, IEEE Trans. Image Process..

[23]  Yan Yang,et al.  Rate control for VBR video over ATM: simplification and implementation , 2001, IEEE Trans. Circuits Syst. Video Technol..

[24]  Giovanni Schembra,et al.  Traffic specifications for the transmission of stored MPEG video on the Internet , 2001, IEEE Trans. Multim..

[25]  Sanjit K. Mitra,et al.  A unified rate-distortion analysis framework for transform coding , 2001, IEEE Trans. Circuits Syst. Video Technol..

[26]  Ajay Divakaran,et al.  MPEG-7 visual motion descriptors , 2001, IEEE Trans. Circuits Syst. Video Technol..

[27]  Magda El Zarki,et al.  Understanding Video Quality and its use in Feedback Control , 2002 .

[28]  Hai Liu,et al.  On modeling MPEG video traffics , 2002, IEEE Trans. Broadcast..

[29]  Sanjit K. Mitra,et al.  New bit-rate control models for image and video transmission , 2002, IEEE 2002 International Conference on Communications, Circuits and Systems and West Sino Expositions.

[30]  Spiridon Bakiras,et al.  Maximizing the number of users in an interactive video-on-demand system , 2002, IEEE Trans. Broadcast..

[31]  Dilip Sarkar,et al.  Modeling full-length video using Markov-modulated Gamma-based framework , 2003, TNET.

[32]  Dmitri Loguinov,et al.  Analysis of rate-distortion functions and congestion control in scalable internet video streaming , 2003, NOSSDAV '03.

[33]  King Ngi Ngan,et al.  Improved single video object rate control for MPEG-4 , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[34]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[35]  Xiao-dong Huang,et al.  A multiscale model for MPEG-4 varied bit rate video traffic , 2004, IEEE Trans. Broadcast..

[36]  Liam Murphy,et al.  A new adaptive multimedia streaming system for all-IP multi-service networks , 2004, IEEE Transactions on Broadcasting.

[37]  Saleh A. Alshebeili,et al.  A GACS modeling approach for MPEG broadcast video , 2004, IEEE Transactions on Broadcasting.

[38]  Dmitri Loguinov,et al.  Analysis and modeling of MPEG-4 and H.264 multi-layer video traffic , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[39]  Ahmet M. Kondoz,et al.  MPEG-encoded variable bit-rate video traffic modelling , 2005 .

[40]  Guizhong Liu,et al.  A novel PDE-based rate-distortion model for rate control , 2005, IEEE Trans. Circuits Syst. Video Technol..

[41]  Martin Reisslein,et al.  The rate variability-distortion (VD) curve of encoded video and its impact on statistical multiplexing , 2005, IEEE Transactions on Broadcasting.

[42]  S. Wenger,et al.  Analyzed rate distortion model in standard video codecs for rate control , 2005, IEEE Workshop on Signal Processing Systems Design and Implementation, 2005..

[43]  Wen Gao,et al.  Statistical model, analysis and approximation of rate-distortion function in MPEG-4 FGS videos , 2005, Visual Communications and Image Processing.

[44]  Jun Sun,et al.  Statistical model, analysis and approximation of rate-distortion function in MPEG-4 FGS videos , 2006, IEEE Trans. Circuits Syst. Video Technol..

[45]  Video Texture and Motion Based Modeling of Rate Variability-Distortion (VD) Curves , 2007, IEEE Transactions on Broadcasting.