relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3084/
title: A Practical High Efficiency Video Coding Solution for Visual Sensor Network using Raspberry Pi Platform
creator: Nguyen thi huong, thao
creator: Phi cong, huy
creator: Vu huu, Tien
creator: Hoang Van, Xiem
subject: Electronics and Computer Engineering
description: The advances in camera sensor technology, sensor networking and distributed processing have motivated a new ubiquitous paradigm – visual sensor network. Consisting of a large number of low complexity camera nodes, visual sensor networks support a tremendous range of new vision-based applications from surveillance, environmental monitoring to virtual reality. However, one of the main challenges in practical visual sensor network is how to process and transmit visual data at limited hardware sensor nodes and in constrained bandwidth conditions. Therefore, the selection of a suitable video compression algorithm is very important. To address this requirement, this paper proposes a Raspberry Pi based low complexity High Efficiency Video Coding (HEVC) solution for visual sensor networks. Experimental results show that the proposed architecture has good compression performance with acceptable complexity performance.
date: 2018-09-12
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3084/1/2018.McSOC.A%20Practical%20High%20Efficiency%20Video%20Coding%20Solution%20for%20Visual%20Sensor%20Network%20using%20Raspberry%20Pi%20Platform_1page.pdf
identifier:   Nguyen thi huong, thao and Phi cong, huy and Vu huu, Tien and Hoang Van, Xiem  (2018) A Practical High Efficiency Video Coding Solution for Visual Sensor Network using Raspberry Pi Platform.  In: IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2018), 12-14 September 2018, Hanoi city, Vietnam.     
relation: http://mcsoc-forum.org/