Video Frame
A video frame is a single still image within a video sequence, and research focuses on efficiently processing and manipulating these frames for various applications. Current research emphasizes improving the efficiency and quality of video frame processing through techniques like optimized sampling strategies, advanced neural network architectures (including Vision Transformers and diffusion models), and innovative loss functions tailored to specific tasks such as video generation, interpolation, and object detection. These advancements are crucial for improving video compression, enhancing video quality, and enabling real-time applications in areas like cloud gaming, autonomous driving, and video editing.
Papers
QVD: Post-training Quantization for Video Diffusion Models
Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
MaskVD: Region Masking for Efficient Video Object Detection
Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel