Low Complexity HEVC Encoder for Visual Sensor Networks
AbstractVisual sensor networks (VSNs) can be widely applied in security surveillance, environmental monitoring, smart rooms, etc. However, with the increased number of camera nodes in VSNs, the volume of the visual information data increases significantly, which becomes a challenge for storage, processing and transmitting the visual data. The state-of-the-art video compression standard, high efficiency video coding (HEVC), can effectively compress the raw visual data, while the higher compression rate comes at the cost of heavy computational complexity. Hence, reducing the encoding complexity becomes vital for the HEVC encoder to be used in VSNs. In this paper, we propose a fast coding unit (CU) depth decision method to reduce the encoding complexity of the HEVC encoder for VSNs. Firstly, the content property of the CU is analyzed. Then, an early CU depth decision method and a low complexity distortion calculation method are proposed for the CUs with homogenous content. Experimental results show that the proposed method achieves 71.91% on average encoding time savings for the HEVC encoder for VSNs. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Pan, Z.; Chen, L.; Sun, X. Low Complexity HEVC Encoder for Visual Sensor Networks. Sensors 2015, 15, 30115-30125.
Pan Z, Chen L, Sun X. Low Complexity HEVC Encoder for Visual Sensor Networks. Sensors. 2015; 15(12):30115-30125.Chicago/Turabian Style
Pan, Zhaoqing; Chen, Liming; Sun, Xingming. 2015. "Low Complexity HEVC Encoder for Visual Sensor Networks." Sensors 15, no. 12: 30115-30125.