Zhijun Lei
ABSTRACT
In order to transmit pre-encoded digital video over heterogeneous networks, it is necessary to employ transcoding techniques that convert pre-encoded video streams into streams having different bit rates and quality. The specified problem is referred to as rate shaping or rate adaptation. In this work, we propose a new rate control scheme for H.263+ based video transcoding. The proposed rate control scheme is comprised of Frame-Layer bit allocation and Macroblock-Layer rate control. At the frame layer, scene context statistics from the incoming video stream are utilized to detect scene changes and determine frame type. The bit budget is allocated to frames according to their energy and frame types. At the macroblock layer, a novel linear Rate-Quantization model is used for selecting quantization parameters for macroblocks. Implementation and experimental results show that the proposed algorithm can provide accurate bit allocation, and can effectively alleviate visual quality degradation after scene changes. This rate adaptation scheme can be used to provide flexible video bit rate adaptation for transmission of pre-encoded video over heterogeneous networks.
- J. Youn, M.-T. Sun, and C.-W. Lin, Motion Vector Refinement for High-Performance Transcoding, IEEE Transactions on Multimedia, Vol.1, No. 1, March 1999. Google Scholar
Digital Library
- P. Assunção, and M. Ghanbari, A Frequency-Domain Video Transcoder for Dynamic Bit-Rate Reduction of MPEG-2 Bit Streams, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 8, No. 8, December 1998. Google ScholarDigital Library
- J. Youn, and M.-T. Sun, Video Transcoding with H.263 Bit-Streams, Journal of Visual Communication and Image Representation, Vol. 11, 2000.Google ScholarDigital Library
- H. Sun, W. Kwok, and J. W. Zdopski, Architecture for MPEG Compressed Bitstream Scaling, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 6, Apr. 1996. Google ScholarDigital Library
- Q.-F. Zhu, L. Keofsky, and M. B. Garrison, Low-Delay, Low-Complexity Rate Reduction and Continuous Presence for Multipoint Videoconferencing, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 9, No. 4, June 1999. Google ScholarDigital Library
- P. Assunção, and M. Ghanbri, Post-Processing of MPEG-2 Coded Video for Transmission at Lower Bit Rates, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, May 1996. Google ScholarDigital Library
- S.-F. Chang and D.G. Messerschmitt, A New Approach to Decoding and Composting Motion Compensated DCT-Based Images, Proceeding of IEEE International Conference on Acoustics, Speech, and Signal Processing, April 1993.Google Scholar
- D. T. Hoang and J. S. Vitter, Efficient Algorithms for MPEG Video Compression, Wiley-Interscience Inc. Sept. 2001. Google ScholarDigital Library
- ISO/IEC JTCI/SC29/WG11, Test Model 5, 1993.Google Scholar
- J. Ribas-Corbera and S.-M. Lei, A Frame-Layer Bit Allocation for H.263+, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, No. 7, October 2000. Google ScholarDigital Library
- ITU-T/SG15, Video Codec test model, TMN-8, June 1997.Google Scholar
- J. Ribas-Corbera, and S. Lei, Rate Control in DCT Video Coding for Low-Delay Communications, IEEE Transactions on Circuits and Systems for Video technology, Vol. 9, Feb. 1999. Google ScholarDigital Library
- S.-W. Wu and A. Gersho, Rate-Constrained Optimal Block-adaptive Coding for Digital Tape Recording of HDTV, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 1, Mar. 1991.Google ScholarDigital Library
- J. Choi and D. Park, A Stable Feedback Control of The Buffer State Using The Controlled Langrange Multiplier Method, IEEE Transaction on Image Processing, Vol. 3, Sept. 1994.Google Scholar
- D. W. Lin, M.-H. Wang, and J.-J. Chen, Optimal Delayed-coding of Video Sequences Subject to A Buffer-size Constraint, Proceedings of SPIE Visual Communication and Image Processing '93, Cambridge, MA, Nov. 1993.Google Scholar
- J. Lee and B. W. Dickinson, Joint Optimization of Frame Type Selection and Bit Allocation for MPEG Video Encoders, Proceedings of International Conference on Image Processing '94, Austin TX, 1994.Google Scholar
- I.-M. Pao, and M.-T. Sun, Encoding DCT Coefficients Based on Rate-Distortion Measurement, Journal of Visual Communication and Image Representation, Vol. 12, 2001.Google ScholarDigital Library
- A. Ortega, K. Ramchandran, and M. Vetterli, Optimal Trellis-based Buffered Compression and Fast Approximations, IEEE Transaction on Image Processing, Vol. 3, Jan. 1994.Google ScholarDigital Library
- Y. Yang and S. S. Hemami, Generalized Rate-Distortion Optimization for Motion-Compensated Video Coders, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, No. 6, Sept. 2000. Google ScholarDigital Library
- R. M. Gary and D. L. Neuhoff, Quantization, IEEE Transactions on Information Theory, Vol. 44, No. 6. Oct. 1998. Google ScholarDigital Library
- T.M. Cover and J.M. Thomas, Elements of Information Theory, New York, Wiley, 1991. Google ScholarDigital Library
- E.D. Frimout, J. Biemond, and R.L. Lagendik, Forward rate control for MPEG recording, Proceedings of SPIE Visual Communication: Image Processing, Cambridge, Nov. 93.Google Scholar
- H.-M. Hang and J.-J. Chen, Source Model for Transform Video Coder and Its Application---Part I: Fundamental Theory, IEEE Transactions on Circuits and Systems for Video Technology, Vol.7, Apr. 1997. Google ScholarDigital Library
- B. Tao, B.W. Dickinson, and H.A. Peterson, Adaptive Model-Driven Bit Allocation for MPEG Video Coding, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 10, Feb. 2000. Google ScholarDigital Library
- W. Ding and B. Liu, Rate Control of MPEG Video Coding and Recording by Rate-quantization Modeling, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 6, Feb. 1996. Google ScholarDigital Library
- L.-J. Lin, and A. Ortega, Bit-Rate Control Using Piecewise Approximated Rate-Distortion Characteristics, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 8, Aug. 1998. Google ScholarDigital Library
- T. Chiang, and Y.-Q. Zhang, A New Rate Control Scheme Using Quadratic Rate Distortion Model, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7, No. 1, February 1997. Google ScholarDigital Library
- A. Puri and R. Aravind, Motion-compensated Video Coding with Adaptive Perceptual Quantization, IEEE Transaction on Circuits and Systems for Video Technology, Vol. 1, Dec. 1991.Google ScholarDigital Library
- J.-B. Cheng and H.-M. Hang, Adaptive Piecewise Linear Bits Estimation Model for MPEG Based Video Coding, Journal of Visual Communication and Image Representation, Vol. 8, No. 1, March 1997.Google ScholarDigital Library
- Z. Lei, and N. D. Georganas, Accurate Bit Allocation and Rate Control for DCT Domain Video Transcoding, Proceedings of IEEE Canadian Conference on Electrical & Computer Engineering, Winnipeg, May 2002.Google Scholar
- S. Park, Y. Lee, and Hyunsik Chang, A New MPEG-2 Rate Control Scheme Using Scene Change Detection, ETRI Journal, Vol. 18, July 1996.Google Scholar
- Y.-S. Saw, Rate-Quality Optimized Video Coding, Kluwer Academic Publishers, 1999. Google ScholarDigital Library
Index Terms
- Rate adaptation transcoding for precoded video streams
Recommendations
Content-aware error-resilient transcoding using prioritized intra-refresh for video streaming
Transmitting video data over wireless networks can be very unreliable due to packet-loss, leading to serious video quality degradation which is annoying to human perception. The lost packets not only affect the quality of current frame, but also lead to ...
Homogeneous Video Transcoding of H.264/AVC Intra Coded Frames
ICCVG 2008: Proceedings of the International Conference on Computer Vision and Graphics: Revised PapersThe main goal of transcoding is to change bit rate of video sequence. This can be done by cascaded connection of decoder and encoder, known as Cascaded Pixel Domain Transcoder (CPDT). Decoding and re-encoding video bit stream always gives lower image ...
Fast video transcoding from H.263 to H.264/MPEG-4 AVC
In the past 10 years detailed works on different video transcoders have been published. However, the new ITU-T Recommendation H.264--also adapted as ISO/IEC MPEG-4 Part 10 (AVC)--provides many new encoding options for the prediction processes that lead ...
Comments