Use What You Have: Yovisto Video Search Engine Takes a Semantic Turn
نویسندگان
چکیده
The phenomenal increase of online video content confronts the consuming user with an immeasurable amount of data which can only be accessed with sophisticated multimedia search and management technologies. Usual video search engines provide a keyword-based search, where lexical ambiguity of natural language often leads to imprecise and incomplete results. Semantics of keywords and metadata has to be determined to overcome these shortcomings to provide high precision and high recall. In this work, we show how to gradually transform the video search engine Yovisto from a simple keyword-based search engine to a fully-fledged semantic video search engine simply by using the existing search engine infrastructure based on Lucene augmented by simple semantic metadata.
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