Easy, fast, and energy-efficient object detection on heterogeneous on-chip architectures
ACM Transactions on Architecture and Code Optimization (TACO)
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This paper analyzes and compares the rate-accuracy and rate energy characteristics of various video rate adaptation techniques in computer vision applications. The analyzed rate adaptation techniques include spatial, spatial with up scaling, temporal, and Signal-to-Noise Ratio (SNR). We experiment with standard video sequences as well as 300 security, surveillance, news, and speech videos. These videos total 19.15 hours of recording time. We consider both MPEG-4 and H.264 compression standards.