A multi-objective optimization framework for video compression and transmission

In video transmission over low-bandwidth channels, high-quality video and sufficient channel throughput should be guaranteed. The last two decades have witnessed an unprecedented growth of wireless communication technologies. It turned out that competition for bandwidth resources is fierce, and onboard power and weight constraints in autonomous vehicles limit the maximum data transmission rates. These factors highlight a critical need for very effective data compression schemes. Images tend to be the most bandwidth-intensive data; therefore, image and video compression methods are particularly valuable. In this paper, the authors present a novel technique for optimizing video compression while visual quality is not compromised. This opens up new scopes in the domain of visual quality assessment of images and videos returned from autonomous vehicles.