The development in multimedia technology has brought the use of video documents to personal computers. The increased volume of multimedia data available in everyday lives has dramatically adopted these technologies for storing that multimedia data. Now these everyday live environments demand sophisticated systems for management and effective systems for the search and retrieval of multimedia data. Semantic Content-Based Video Retrieval focuses on the semantic content of video documents and describes the implementation of a semantic-based video indexing and retrieval system suitable for the video-on-demand style applications. The book addresses issues related to developing a model for describing the semantic content of a video document and representing information about this content. In addition, the book investigates and suggests a methodology suitable for integrating manual human understanding and automatic machine understanding technologies of video documents. Finally, the book proposes a video query language based on the first order logic for querying video information, and a design and an implementation for video retrieval.