Efficient mode selection for H.264 complexity reduction in a Bayesian framework
Image Communication
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Content-Aware Fast Motion Estimation for H.264/AVC
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Macroblock Feature Based Complexity Reduction for H.264/AVC Motion Estimation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Reconfigurable SAD tree architecture based on adaptive sub-sampling in HDTV application
Proceedings of the 19th ACM Great Lakes symposium on VLSI
Scalable high-throughput variable block size motion estimation architecture
Microprocessors & Microsystems
Selective search area reuse algorithm for low external memory access motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Motion estimation optimization for H.264/AVC using source image edge features
IEEE Transactions on Circuits and Systems for Video Technology
Fast inter-mode decision in an H.264/AVC encoder using mode and Lagrangian cost correlation
IEEE Transactions on Circuits and Systems for Video Technology
Effective multi-frame motion estimation method for H.264
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Complexity-constrained H.264 HD video coding throughmode ranking
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
An Adaptive Multiple Reference Frame Motion Estimation for H.264 Video Coding
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Content aware configurable architecture for H.264/AVC integer motion estimation engine
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Novel frame selection methods for multi-reference motion estimation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Fast multiple reference frame selection algorithm in H.264/AVC
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
A fast adaptive ME algorithm based on H.264
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Dynamic replacement of video coding elements
Image Communication
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Low-complexity algorithm for fractional-pixel motion estimation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Macroblock sampling and mode ranking for complexity scalability in mobile H.264 video coding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fast inter-mode decision based on rate-distortion cost characteristics
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
OTS and central expanding blocks scan for interframe compression
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Adaptive orthogonal transform for motion compensation residual in video compression
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
WSEAS Transactions on Systems and Control
Journal of Signal Processing Systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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In the new video coding standard H.264/AVC, motion estimation (ME) is allowed to search multiple reference frames. Therefore, the required computation is highly increased, and it is in proportion to the number of searched reference frames. However, the reduction in prediction residues is mostly dependent on the nature of sequences, not on the number of searched frames. Sometimes the prediction residues can be greatly reduced, but frequently a lot of computation is wasted without achieving any better coding performance. In this paper, we propose a context-based adaptive method to speed up the multiple reference frames ME. Statistical analysis is first applied to the available information for each macroblock (MB) after intra-prediction and inter-prediction from the previous frame. Context-based adaptive criteria are then derived to determine whether it is necessary to search more reference frames. The reference frame selection criteria are related to selected MB modes, inter-prediction residues, intra-prediction residues, motion vectors of subpartitioned blocks, and quantization parameters. Many available standard video sequences are tested as examples. The simulation results show that the proposed algorithm can maintain competitively the same video quality as exhaustive search of multiple reference frames. Meanwhile, 76 %-96 % of computation for searching unnecessary reference frames can be avoided. Moreover, our fast reference frame selection is orthogonal to conventional fast block matching algorithms, and they can be easily combined to achieve further efficient implementations.