Video compression with parallel processing
Parallel Computing - Parallel computing in image and video processing
Hardware architecture design of an H.264/AVC video codec
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Survey on Block Matching Motion Estimation Algorithms and Architectures with New Results
Journal of VLSI Signal Processing Systems
A programmable, high performance vector array unit used for real-time motion estimation
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
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
Binary Motion Estimation with Hybrid Distortion Measure
IEICE - Transactions on Information and Systems
Low-power H.264 video compression architectures for mobile communication
IEEE Transactions on Circuits and Systems for Video Technology
A spurious-power suppression technique for multimedia/DSP applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Built-in self-detection/correction architecture for motion estimation computing arrays
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Block motion estimation using modified two-bit transform
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Reconfigurable architecture for VBSME with variable pixel precision
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Fuzzy quantization based bit transform for low bit-resolution motion estimation
Image Communication
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Power consumption is very critical for portable video applications such as portable videophone and digital camcorder. Motion estimation (ME) in the video encoder requires a huge amount of computation, and hence consumes the largest portion of power. We propose a novel method of reducing power consumption of the ME by adaptively changing the pixel resolution during the computation of the motion vector. The pixel resolution is changed by masking or truncating the least significant bits of the pixel data, which is governed by the bit-rate control mechanism. Experimental results show that on average more than 4 bits ran be truncated without significantly affecting the picture quality. This results in more than 60% reduction in power consumption