Chinese shoRt vidEo

Research on Chinese short video focuses on improving search and retrieval capabilities, particularly by leveraging multimodal data (video content and associated text). Current efforts concentrate on developing large-scale benchmark datasets with diverse video covers and user-generated text, enabling the training and evaluation of advanced vision-language models. These models, often incorporating techniques like multimodal alignment and generative pre-trained transformers, aim to enhance both the accuracy of video retrieval and the quality of automatically generated video titles. This work has significant implications for improving the user experience of Chinese short video platforms and advancing the broader field of multimodal learning.