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ICASSP
2009
IEEE

Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing

10 years 4 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cost constraints in embedded systems, it is necessary to accelerate K-Means algorithm by hardware implementations in SoC environments, where the bandwidth of the system bus is strictly limited. In this paper, a bandwidth adaptive hardware architecture of K-Means clustering is proposed. Experiments show that the proposed hardware has the maximum clock speed 400MHz with TSMC 90nm technology, and it can deal with feature vectors with different dimensions using ve parallel modes to utilize the input bandwidth ef ciently.
Tse-Wei Chen, Shao-Yi Chien
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Tse-Wei Chen, Shao-Yi Chien
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