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Scoop.it!
Never heard of it? Learn why we call this video encoding analysis tool invaluable, and a must-have for anyone serious about encoding or compression. Via Philippe Rambourg 
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Scoop.it!
Veveo, a provider of search solutions for connected devices, has debuted a new voice and natural language-based, "conversational interface" technology for video search. Available for trial currently and for release in Q1 '13 in its Reveal 3.0 product, the new voice capability is targeted to pay-TV operators, connected device manufacturers and set-top box providers eager to give users more flexibility in how they navigate the ever-increasing array of video choices.
Underlying Veveo's conversational interface is its SmartRelevance Conversational Platform, based on 32 issued patents and 65 patent applications. The platform consists of a "Knowledge Graph" (reference set of named entities, with algorithms to make use of them), "Content Graph" (actual content assets mapped to the Knowledge Graph), "Personal Graph" (contextual learning engine for user's behaviors and interests) and a "Conversational Query Engine" (front end that binds together other elements and allows natural language processing).
Scoop.it!
Tektronix, the leading provider of digital content monitoring solutions, will demonstrate the advanced capabilities of its award-winning Sentry digital content monitor in the CableNET Pavilion of The Cable Show, June 14-16 in Chicago. This year's demonstrations will include Sentry's unique Perceptual Video Quality (PVQ) scoring system and Sentry's ability to monitor enhanced television (ETV) and advanced advertising applications based on the increasingly popular Enhanced TV Binary Interchange Format (EBIF).
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Scoop.it!
The Internet was designed around text-based documents, and as such, has mature infrastructure to encourage and enable the search and discovery of text across the entire web. Video files, on the other hand, are not natively “searchable”, and usually require complex classification systems primarily powered by massive amounts of manually-tagged metadata. But what if there was a way to extract this kind of meaningful metadata automatically? Azure Media Indexer is a media processor that leverages natural language processing (NLP) technology from Microsoft Research to make media files and content searchable by exposing this meaningful metadata to the end-user automatically in the form of a keyword file (XML), a set of closed caption files (SAMI/TTML), and a powerful binary index file (AIB).
Scoop.it!
Frame-by-frame classification platform lets ad buyers be sure they're buying time on safe and relevant content.
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