Enhanced block motion estimation based on distortion-directional search patterns
Pattern Recognition Letters
Fast motion estimation using semi-hierarchical approach for the Dirac video codec
MUSP'08 Proceedings of the 8th WSEAS International Conference on Multimedia systems and signal processing
An Adaptive Multi Pattern Scheme for Fast Block Motion Estimation
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Semi-hierarchical based motion estimation algorithm for the Dirac video encoder
WSEAS Transactions on Signal Processing
Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation
IEICE - Transactions on Information and Systems
Fast motion estimation for H.264
Image Communication
Modeling of pattern-based block motion estimation and its application
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
An intelligent detection approach to multi-intrusions based on hybrid-model searching algorithm
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
Motion estimation algorithm in video coding
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Video segmentation based on motion coherence of particles in a video sequence
IEEE Transactions on Image Processing
Prediction-based directional search for fast block-matching motion estimation
Proceedings of the 2010 Symposium on Information and Communication Technology
A high performance reconfigurable motion estimation hardware architecture
Proceedings of the Conference on Design, Automation and Test in Europe
Fast image motion segmentation for surveillance applications
Image and Vision Computing
Improved fast motion block matching based adaptive rood pattern search
ICOSSSE'07 Proceedings of the 6th WSEAS international conference on System science and simulation in engineering
WSEAS Transactions on Systems and Control
Unsupervised fast anomaly detection in crowds
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Pattern Recognition Letters
Motion compensation based on tangent distance prediction for video compression
Image Communication
Block-matching algorithm based on differential evolution for motion estimation
Engineering Applications of Artificial Intelligence
Swine Influenza Models Based Optimization (SIMBO)
Applied Soft Computing
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Applied Soft Computing
Block-matching algorithm based on harmony search optimization for motion estimation
Applied Intelligence
A pattern based PSO approach for block matching in motion estimation
Engineering Applications of Artificial Intelligence
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We propose a novel and simple fast block-matching algorithm (BMA), called adaptive rood pattern search (ARPS), which consists of two sequential search stages: (1) initial search and (2) refined local search. For each macroblock (MB), the initial search is performed only once at the beginning in order to find a good starting point for the follow-up refined local search. By doing so, unnecessary intermediate search and the risk of being trapped into local minimum matching error points could be greatly reduced in long search case. For the initial search stage, an adaptive rood pattern (ARP) is proposed, and the ARP's size is dynamically determined for each MB, based on the available motion vectors (MVs) of the neighboring MBs. In the refined local search stage, a unit-size rood pattern (URP) is exploited repeatedly, and unrestrictedly, until the final MV is found. To further speed up the search, zero-motion prejudgment (ZMP) is incorporated in our method, which is particularly beneficial to those video sequences containing small motion contents. Extensive experiments conducted based on the MPEG-4 Verification Model (VM) encoding platform show that the search speed of our proposed ARPS-ZMP is about two to three times faster than that of the diamond search (DS), and our method even achieves higher peak signal-to-noise ratio (PSNR) particularly for those video sequences containing large and/or complex motion contents.