Title :
Accuracy and Power Consumption Tradeoffs in Video Rate Adaptation for Computer Vision Applications
Author :
Sharrab, Y.O. ; Sarhan, Nabil J.
Author_Institution :
Electr. & Comput. Eng. Dept., Wayne State Univ., Detroit, MI, USA
Abstract :
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.
Keywords :
computer vision; image sequences; video coding; H.264 compression standards; MPEG-4 standards; SNR; computer vision applications; power consumption tradeoffs; rate energy characteristics; rate-accuracy; signal-to-noise ratio; spatial rate adaptation; speech videos; standard video sequences; temporal rate adaptation; time 19.15 hour; video rate adaptation techniques; video surveillance; Accuracy; Bit rate; Power demand; Signal to noise ratio; Spatial resolution; Streaming media; Transform coding; Automated Video Surveillance; Computer Vision; Power Consumption; Rate-Accuracy; Video Rate Adaptation; Video Streaming;
Conference_Titel :
Multimedia and Expo (ICME), 2012 IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-1659-0
DOI :
10.1109/ICME.2012.77
