Survey on Block Matching Motion Estimation Algorithms and Architectures with New Results
Journal of VLSI Signal Processing Systems
Modified predictive line search for block motion estimation on multimedia processors
Signal Processing - Fractional calculus applications in signals and systems
Very low complexity MPEG-2 to H.264 transcoding using machine learning
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
An efficient complexity-scalable video transcoder with mode refinement
Image Communication
An adaptive and fast fractional pixel search algorithm in H.264
Signal Processing
Flexible triangle search algorithm for block-based motion estimation
EURASIP Journal on Applied Signal Processing
Improved Update Step for Scalable Video Coding in Video Surveillance
Journal of VLSI Signal Processing Systems
A mode and search range decision scheme for fast motion estimation in H.264
ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
Multiple Reference Motion Compensation: A Tutorial Introduction and Survey
Foundations and Trends in Signal Processing
A configurable motion estimation architecture for block-matching algorithms
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Motion estimation of deformable objects with motion inertia information
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Motion vision based structure estimation in forest environment
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Video streaming to mobile handheld devices: challenges in decoding, adaptation, and browsing
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Linear algorithm and hexagonal search based two-pass algorithm for motion estimation
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
A hierarchical framework for fast macroblock prediction mode decision in h.264
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Linear hashtable method predicted hexagonal search algorithm with spatial related criterion
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Predictive directional rectangular zonal search for digital multimedia processor
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Block-based motion vector smoothing for periodic pattern region
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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Motion estimation (ME) is an important part of any video encoding system since it could significantly affect the output quality of an encoded sequence. Unfortunately, this feature requires a significant part of the encoding time especially when using the straightforward full search (FS) algorithm. We propose two techniques, the generalized motion vector (MV) predictor and the adaptive threshold calculation, that can be used to significantly improve the performance of many existing fast ME algorithms. In particular, we apply them to create two new algorithms, named advanced predictive diamond zonal search and predictive MV field adaptive search technique, respectively, which can considerably reduce, if not essentially remove, the computational cost of ME at the encoder, while at the same time give similar, and in many cases better, visual quality with the brute force full search algorithm. The proposed algorithms mainly rely upon very robust and reliable predictive techniques and early termination criteria with parameters adapted to the local characteristics combined with the zonal based patterns. Our experiments verify the considerable superiority of the proposed algorithms versus the performance of possibly all other known fast algorithms, and FS.