An energy-efficient wireless video sensor node with a region-of-interest based multi-parameter rate controller for moving object surveillance

Abstract

This paper presents a lightweight video sensor node for moving object surveillance using region-of-interest (ROI) based coding and an on-line multi-parameter rate controller. The proposed ROI-based coding scheme determines ROI blocks, pre-processes non-ROI blocks using bit-truncation, and encodes all blocks using Motion JPEG. The on-line rate controller modulates the parameters of the ROI-based coding scheme to match the encoded data rate and transmission data rate under the variations in channel bandwidth and input video content. The low-complexity hardware of the ROI-based coding scheme reduces computation energy, and the on-line rate controller minimizes buffer requirement. The sensor node is designed in 130nm CMOS and prototyped in a Virtex-V FPGA. Simulations show that, under the same ROI quality, the proposed approach reduces system energy by 61% compared to H.264/AVC. Figure 1: ROI-based rate controller design (a) tied to H.264/AVC and (b) based on a simple encoder (MJPEG).

A Task-Driven Feedback Imager with Uncertainty Driven Hybrid Control

“…PISP performs adaptive video encoding driven by motion estimation and motion compensation algorithms to reduce the impact of soft errors in video compression [17]. Ko et al use a multi-QF JPEG encoder to encode motion ROIs at a higher QF while meeting bandwidth constraints [18].…”