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Low-power VLSI design for motion estimation using adaptive pixel truncation
- Source :
- IEEE Transactions on Circuits and Systems for Video Technology. 10:669-678
- Publication Year :
- 2000
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2000.
-
Abstract
- 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.
- Subjects :
- Pixel
Image quality
Computer science
business.industry
Quantization (signal processing)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Energy consumption
Motion vector
Videotelephony
Pixel aspect ratio
Motion estimation
Bit rate
Media Technology
Discrete cosine transform
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
business
Encoder
Image resolution
Transform coding
Data compression
Subjects
Details
- ISSN :
- 10518215
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Circuits and Systems for Video Technology
- Accession number :
- edsair.doi...........365b019d8c4a6431fb0cb66ef46bfbed
- Full Text :
- https://doi.org/10.1109/76.856445