Cross Media Entity and Concept Driven Search
نویسندگان
چکیده
In recent years there is a rapid growth of unstructured text and multimedia content, which includes audio, video and image content on the web and within the enterprise. Handling these large volumes of data is cumbersome without effective methods for content analysis and retrieval. This paper presents Sensefy – a cross media information retrieval system, which uses higher-level semantic concepts and entities for retrieving documents of different media types. This paper describes the process of automated semantic information extraction from multimedia documents, which is central in developing concept and entity driven search across different media types. Further, the Media In Context (MICO) platform is described as a platform for cross media analysis.
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