The field of video processing and analysis is rapidly advancing, with a focus on improving the quality, authenticity, and security of video content. Recent developments have led to significant improvements in video generation, quality assessment, and forgery detection. Researchers are exploring new methods for integrating consistency information across long-short frames in video generation, and for assessing video quality in a more accurate and generalized way. Additionally, there is a growing need for robust video forensic techniques to counteract evolving forgery methods. Noteworthy papers in this area include: FreePCA, which proposes a training-free long video generation paradigm based on Principal Component Analysis, and VIDSTAMP, which introduces a watermarking framework for ownership and integrity in video diffusion models. HiLLIE is also notable for its human-in-the-loop training framework for low-light image enhancement.