Low-complexity motion estimation algorithm using edge feature for video compression on wireless video sensor networks

This paper proposes a video compression algorithm that uses the edges of frames to estimate and compensate for motions. Based on the algorithm, we propose two schemes that balance energy consumption among nodes in a cluster on a wireless video sensor network. In these schemes, the compression process is divided into several small processing components, which are then distributed to multiple nodes while considering their residual energy. We conducted extensive computational simulations to verify our methods and found that the proposed schemes not only solve the energy balance problem by coordination of the processing tasks but also increase the quality of decoded video.