Video indexing involves segmenting, analyzing, and abstracting video content into various levels including sequence, scene, shot, frame, and object. It can involve both low-level indexing based on visual features and high-level indexing focusing on semantic content. However, fully automated semantic indexing of large amounts of video data remains a challenge due to issues like the dynamic and interpretive nature of video versus text. Standards like MPEG-7 and Dublin Core along with metadata are used to aid in cataloging and retrieving video content for various applications and user needs.