A Web-based Video Retrieval System: Architecture, Semantic Extraction, and Experimental Development

A current important trend in multimedia information management is towards web-based/enabled multimedia search and management systems. Video is a rich and colorful media widely used in many of our daily life applications such as education, entertainment, news spreading, etc. Digital videos have diverse sources of origin such as cassette recorder, tape recorder, home video camera, DVD and Internet. Expressiveness of video documents decides their dominative position in the next-generation multimedia information systems. Unlike traditional/static types of data, digital video can provide more effective dissemination of information for its rich content. Collectively, a (digital) video can have several information descriptors: (1) meta data - the actual video frame stream, including its encoding scheme and frame rate; (2) media data - the information about the characteristics of video content, such as visual feature, scene structure and spatio-temporal features; (3) semantic data - the mapping between media data and their high level meanings such as text annotation or concepts relevant to the content of the video, obtained by manual or automatic understanding.