Thao Nguyen Thi Huong, Huy Phi Cong, Xiem HoangVan, Tien Huu Vu
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引用次数: 1
Abstract
Visual sensor network (VSN) has recently emerged as a promising solution for tremendous range of new vision-sensor based applications, from video surveillance, environmental monitoring to remote sensing. However, the practical VSN currently faces to the visual processing and transmitting problems due to the limitation of power at sensor nodes and the restriction of transmission bandwidth. In this context, the selection of a suitable video compression algorithm is utmost important task for achieving a practical VSN. To address this problem, this paper introduces a practical Raspberry Pi based High Efficiency Video Coding (HEVC) solution for visual sensor networks. The selected video coding solution is one of the most up-to-date compression engines but still achieving the low complexity capability. Experimental results show that the proposed video coding architecture has good compression performance with acceptable complexity performance.
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