CONTEXT-SENSITIVE AND CONTEXT-FREE RETRIEVAL IN A VIDEO DATABASE SYSTEM

Video retrieval is an important topic in video database systems. Annotation-based video retrieval is a natural and an effective means for accessing video data when higher level semantics are involved, and is complementary to content-based access. In the context of MOOVIS - an experimental video database system that we have implemented, both context-oriented and feature-based meta data descriptions are organized in a structured yet flexible manner, which can facilitate to accommodate user queries that are either context-free or context-dependent. An associated set of query language facilities is currently being developed, and is to be incorporated into MOOVIS on the PC Pentium platform.