Fast MPEG-4 Motion Estimation: Processor Based and Flexible VLSI Implementations
Journal of VLSI Signal Processing Systems - Special issue on implementation of MPEG-4 multimedia codecs
Real-Time Imaging - Special issue on software engineering
Unsupervised colorization of black-and-white cartoons
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Journal of VLSI Signal Processing Systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
An approach to increase the performance of motion estimation algorithms implemented in hardware
WebMedia '06 Proceedings of the 12th Brazilian Symposium on Multimedia and the web
Memory power optimization of hardware implementations of multimedia applications onto FPGA platforms
Journal of Embedded Computing - Low-power Embedded Systems
Performance evaluation of motion estimation in DCT transform domain
WSEAS Transactions on Signal Processing
Efficient hierarchical motion estimation algorithm and its VLSI architecture
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Access-pattern-aware on-chip memory allocation for SIMD processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Phase information and space filling curves in noisy motion estimation
IEEE Transactions on Image Processing
Colorization of black-and-white cartoons
Image and Vision Computing
A model-based adaptive motion estimation scheme using Renyi's entropy for wireless video
Journal of Visual Communication and Image Representation
Fast motion estimation using spatio temporal filtering
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
PATMOS'07 Proceedings of the 17th international conference on Integrated Circuit and System Design: power and timing modeling, optimization and simulation
Information Sciences: an International Journal
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In transmitting moving pictures, interframe coding is shown to be effective for compressing video data. A hierarchical motion vector estimation algorithm using mean pyramid is proposed. Using the same measurement window at each level of a pyramid, the proposed algorithm, based on the tree pruning, reduces the computational complexity greatly with its performance comparable to that of the full search (FS). By varying the number of candidate motion vectors which are to be used as the initial search points for motion vector estimation at the next level, the mean squared error of the proposed algorithm varies, ranging between those of the FS and three step search (TSS) methods. Also, depending on the number of candidate motion vectors, the computational complexity of the proposed hierarchical algorithm ranges from 1/8-1/2 of that of the FS. The computer simulation results of the proposed technique compared with the conventional methods are given for various test sequences