RAMP announced today that it has been issued its 19th patent as part of its ongoing development of intellectual property. USPN 8,280,719 covers RAMP’s unique ability to automatically tag large catalogs of audio, video, text, and image content using natural language processing combined with human guidance to create self-learning algorithms.
This technology enables RAMP to build highly scalable and cost-effective solutions for automatic content tagging – one of the most difficult and important challenges facing content producers across media and enterprise. Inadequate or incomplete tagging of content negatively impacts the performance of content management systems, adservers, and recommendation engines, and results in content that fails to generate its maximum value. USPN 8,280,719 nicely complements RAMP’s unique, patented ability to generate automated transcripts on audio and video content delivering a complete metadata solution for publishers of all content types.
“This recent patent issuance is a real testament to the deep talent and skill of the RAMP team,” said Tom Wilde, RAMP CEO. “We work hard to develop innovative ways for content producers to maximize the value of their content, and this patent is another great example of RAMP’s capabilities.”