BIG DATA: 2) Big Data Opportunities: A. Faceted Search at Scale (example) =================================== FACETED SEARCH EXAMPLE: EXALEAD CloudViewTM uses industrial-grade semantic and statistical processing to automatically cluster and categorize search results for an index of 16 billion Web pages (approx. 6 petabytes of raw data). Facets hide the scale and complexity of Big Data collections from end users, boosting search success and making search and navigation feel simple and natural. 2) Big Data Opportunities: B. Multimedia Search =============================== Multimedia content is the fastest growing type of user-generated content, with millions of photos, audio files and videos uploaded to the Web and enterprise servers daily. Exploiting this type of content at Big Data scale is impossible if we must rely solely on human tagging or basic associated metadata like file names to access and understand content. However, recent technologies like automatic speech-totext transcription and object-recognition processing (called Content-Based Image Retrieval, or CBIR) are enabling us to structure this content from the inside out, and paving the way toward new accessibility for large-volume multimedia collections. Look for this trend to have a significant impact in fields like medicine, media, publishing, environmental science, forensics and digital asset management. Multimedia Search Example: FRANCE 24 is a 24/7 international news channel broadcasting in French, English and Arabic. In partnership with EXALEAD, Yacast Media and Vecsys, FRANCE 24 is automatically generating near real-time transcripts of its broadcasts, and using semantic indexation of these transcripts to offer “full text“ search inside videos. Complementary digital segmentation technology enables users to jump to the precise point in the broadcast where their search term is used. to be contd . . .
Posted on: Mon, 21 Oct 2013 04:33:44 +0000
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