Elements of information theory
Elements of information theory
Efficient algorithms for MPEG video comrpession
Efficient algorithms for MPEG video comrpession
Rate-Quality Optimized Video Coding
Rate-Quality Optimized Video Coding
Post-processing of MPEG2 coded video for transmission at lower bit rates
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Motion vector refinement for high-performance transcoding
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
Rate control of MPEG video coding and recording by rate-quantization modeling
IEEE Transactions on Circuits and Systems for Video Technology
Architectures for MPEG compressed bitstream scaling
IEEE Transactions on Circuits and Systems for Video Technology
A new rate control scheme using quadratic rate distortion model
IEEE Transactions on Circuits and Systems for Video Technology
Source model for transform video coder and its application. I. Fundamental theory
IEEE Transactions on Circuits and Systems for Video Technology
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
A frequency-domain video transcoder for dynamic bit-rate reduction of MPEG-2 bit streams
IEEE Transactions on Circuits and Systems for Video Technology
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
Low-delay, low-complexity rate reduction and continuous presence for multipoint videoconferencing
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive model-driven bit allocation for MPEG video coding
IEEE Transactions on Circuits and Systems for Video Technology
Generalized rate-distortion optimization for motion-compensated video coders
IEEE Transactions on Circuits and Systems for Video Technology
A frame-layer bit allocation for H.263+
IEEE Transactions on Circuits and Systems for Video Technology
Architecture of a quality based intelligent proxy (QBIX) for MPEG-4 videos
WWW '03 Proceedings of the 12th international conference on World Wide Web
Adaptive video transcoding and streaming over wireless channels
Journal of Systems and Software - Special issue: Adaptive multimedia computing
ACSW Frontiers '05 Proceedings of the 2005 Australasian workshop on Grid computing and e-research - Volume 44
Live video adaptation: a context-aware approach
WebMedia '05 Proceedings of the 11th Brazilian Symposium on Multimedia and the web
A video classification method using user perceptive video quality
IMSA'06 Proceedings of the 24th IASTED international conference on Internet and multimedia systems and applications
A rate control method for streaming services using user perceptive video quality
IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
Model-based transrating of H.264 coded video
IEEE Transactions on Circuits and Systems for Video Technology
A hybrid fractal video compression method
Computers & Mathematics with Applications
Adaptive partition and hybrid method in fractal video compression
Computers & Mathematics with Applications
A rate control method for streaming services using user perceptive video quality
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
Algorithms for video retargeting
Multimedia Tools and Applications
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
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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.