Long Video Retrieval

Long video retrieval focuses on efficiently and accurately locating specific moments within lengthy video recordings based on textual queries. Current research emphasizes overcoming the computational challenges posed by processing vast amounts of video data, exploring techniques like leveraging large language models to convert videos into text representations, and employing efficient temporal aggregation methods such as weighted averaging of frame embeddings from models like CLIP. These advancements improve retrieval accuracy and efficiency, impacting applications ranging from video summarization and content browsing to more complex tasks like question answering about long-form video content.