This paper introduces data communication and flexible data compression methods in SIGMA, the application framework we are developing. Recently, various kinds of wireless communication technologies and sensing devices have been developed. Hence, the opportunity of transmitting images and other large-volume data via the Internet is expected to increase. We consider specifying a region of interest (ROI) on spatiotemporal axes to reduce data size of unnecessary areas. This can be achieved by projecting a three-dimensional space which represents a ROI onto an image. To confirm the usefulness of this mechanism, we prototyped the ROI function in the WebP image format.
