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« New Open-Source Podcasting Software Library Released | Main | Odeo Launches to Limited Group »

blinkz Searches Audio in Podcasts and Video Blogs

June 29, 2005

blinkx.tv.gifblinkx has introduced Podcast and Video Blog channels to www.blinkx.tv, making the audio content of the two sources searchable.

blinkx is a search engine that is optimized for rich media. It uses voice recognition software to transcribe the content of audio and video segments, so people can find the content they're looking for.

blinkz joins Podscope in the rapidly emerging field of rich media search.

"The volume of rich media content online continues to explode, but traditional search engines such as Google and Yahoo were developed for text-based keyword searches, not for audio or video content," said blinkx founder Suranga Chandratillake. "The prevalence of broadband and multimedia is driving demand for next generation search capabilities."

blinkx's podcast spider crawls the Web in search of rich media content, automatically identifying and processing podcast and video blog data, indexing 100s of hours of casts every hour.

blinkx.TV and advanced audio/video analysis

blinkx TV combines advanced speech recognition and transcription techniques with intelligent Context Clustering Technology (CCT) and a patented context prediction and synchronization technology to analyze and understand the actual content (spoken words) of an audio/video file. The output of these analytical sub-processes are stored as further metadata tracks, alongside the digitally encoded content.

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