Video compression using region of interest of moving objects

Abstract

Described are systems and processes for compressing image data, such as video data, based on detection of region of interests (ROIs) in the image data. Image data may be analyzed to determine moving objects and stationary objects (e.g., background) depicted in the image data. To compress the image data, the stationary objects are refreshed less frequently than moving objects. ROIs are identified in the moving objects, such as a face of a person, hands of a person, and/or objects moved by the person. Some of these ROI regions/pixels are maintained at high quality, while non-ROI regions/pixels are reduced in quality to further compress the image data. Faces are reduced in quality to obfuscate a person's identity. Multiple ROI regions may be located and then tracked simultaneously. The resulting compression may reduce storage space to store the image data and/or may reduce bandwidth needed to transmit the image data to remote devices while maintaining high quality in ROI regions.