A Study on a New Image Matching Method for Automatic Metadata Generation of Video Content
Details
Metadata for video content plays a very important role in many video related applications such as video retrieval, automatic video digest creation, copyright protection etc. However, metadata is not included in most of video content On the other hand, metadata can be automatically given for still pictures in Web pages (except for dynamic Web pages) by Web search engines. Therefore, if video content is associated with these still pictures automatically, it also makes it possible for video content to acquire its own metadata automatically. For this purpose, we propose a new matching method between video content and still pictures based on SIFT in this paper.
