Evolutionary programming Kalman filter
Information Sciences—Informatics and Computer Science: An International Journal
Video Coding: An Introduction to Standard Codecs
Video Coding: An Introduction to Standard Codecs
A hierarchical block motion estimation algorithm using partial distortion measure
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Fast and accurate global motion estimation algorithm using pixel subsampling
Information Sciences: an International Journal
A new cross-diamond search algorithm for fast block motion estimation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fuzzy transforms for compression and decompression of color videos
Information Sciences: an International Journal
Hierarchical Kalman-particle filter with adaptation to motion changes for object tracking
Computer Vision and Image Understanding
Motion compensation based on tangent distance prediction for video compression
Image Communication
On fast and accurate block-based motion estimation algorithms using particle swarm optimization
Information Sciences: an International Journal
An efficient three-step search algorithm for block motion estimation
IEEE Transactions on Multimedia
3-D Kalman filter for image motion estimation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A new diamond search algorithm for fast block-matching motion estimation
IEEE Transactions on Image Processing
A novel four-step search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A block-based gradient descent search algorithm for block motion estimation in video coding
IEEE Transactions on Circuits and Systems for Video Technology
Kalman filtering based rate-constrained motion estimation for very low bit rate video coding
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic search-window adjustment and interlaced search for block-matching algorithm
IEEE Transactions on Circuits and Systems for Video Technology
A new three-step search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A fast hierarchical motion vector estimation algorithm using mean pyramid
IEEE Transactions on Circuits and Systems for Video Technology
Block-matching algorithm based on differential evolution for motion estimation
Engineering Applications of Artificial Intelligence
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)
Applied Soft Computing
Optimized hierarchical block matching for fast and accurate image registration
Image Communication
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The large amount of bandwidth that is required for the transmission or storage of digital videos is the main incentive for researchers to develop algorithms that aim at compressing video data (digital images) whilst keeping their quality as high as possible. Motion estimation algorithms are used for video compression as they reduce the memory requirements of any video file while maintaining its high quality. Block matching has been extensively utilized in compression algorithms for motion estimation. One of the main components of block matching techniques is search methods for block movements between consecutive video frames whose aim is to reduce the number of comparisons. One of the most effective searching methods that yield accurate results but is computationally very expensive is the Full Search algorithm. Researchers try to develop fast search motion estimation algorithms to reduce the computational cost required by full-search algorithms. In this research, the authors present a new fast search algorithm based on the hierarchical search approach, where the number of searched locations is reduced compared to the Full Search. The original image is sub-sampled into additional two levels. The Full Search is performed on the highest level where the complexity is relatively low. The Enhanced Three-Step Search Algorithm and a new proposed searching algorithm are used in the consecutive two levels. The results show that by using the standard accuracy measurements and the standard set of video sequences, the performance of the proposed hierarchal search algorithm is close to the Full Search with 83.4% reduction in complexity and with a matching quality over 98%.