Video compression standards rely heavily on eliminating spatial and temporal redundancy within and across video frames. Intra-frame encoding targets redundancy within blocks of a single video frame, whereas inter-frame coding focuses on removing redundancy between the current frame and its reference frames. The level of spatial and temporal redundancy, or complexity, is a crucial factor in video compression. In this challenge, the goal is to find innovative methods that can quickly and accurately predict the spatial and temporal complexity of a video, with a high correlation to actual performance. These methods should be efficient enough to be applicable in live video streaming scenarios, ensuring real-time adaptability and optimization.
Visit the Challenge website for details and more information!
