Semantic analysis for video contents extraction—spotting by association in news video
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Artificial Intelligence Review
Image Information Systems: Where Do We Go From Here?
IEEE Transactions on Knowledge and Data Engineering
Content-Based Indexing of Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
Semantic Modeling and Knowledge Representation in Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
A Survey on Content-Based Retrieval for Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
A fully automated content-based video search engine supporting spatiotemporal queries
IEEE Transactions on Circuits and Systems for Video Technology
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This work presents a novel English distance learning system that was developed through multimedia database and Internet technologies called English Multimedia Corpus. The system includes English articles, dialogs, and videos. A student can study English writing and reading as well as view Web browser listings to connect the Corpus server. In the system, semantic query and "Link grammar" are applied to construct the English Multimedia Corpus system. Furthermore, it promotes the query level from keyword-based and content-based query to a semantic level. The main function of this system is to query the English sentence pattern through keywords from the English Multimedia Corpus. The other function is to detect grammatical errors in written English. Thus, the system not only teaches English grammar, but also, due to its database, allows teachers to understand the most frequent mistakes.