The Mufin MusicFinder - MAGIX AG - Juergen Jaron - Media in Transition 2007

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    The Mufin MusicFinder - MAGIX AG - Juergen Jaron - Media in Transition 2007 - Presentation Transcript

    1. the next evolution in digital music Demo
    2. Auf einen Blick
      • 1993 gegründet, Hauptsitz in Berlin
      • 300 Mitarbeiter, 160 Entwickler
      • € 36 Millionen Umsatz in 2006
      • 6,8 Millionen registrierte User
    3. Die besondere Position von MAGIX Access & publish online Manage media Create content Music Video Photo Mobile Online Offline Community Framework Applikation Service Provider Technology Platform
    4. MAGIX solutions – Convergence solutions Hardware Online Services + Content Software + Content Content / Entertainment Information Technology Communication
    5. a totally new music experience I would like to get exposed to some new music... ... based on what I like. Wow, that´s a hot new song! I´d never heard of the band before. Awesome! Now, I just need some really groovy music. Like this one. And hey presto! The playlist is here, great!
    6. mufin online community
    7. 360° - across all platforms Music on your home and car stereo, settop-box, etc. Music on the Internet Music on your PC´s harddisk Music on your mobile device
    8. mufin for e-tailers Songs like this Demo
    9. Thank you for your attention
    10. mufin for ISPs & mobile operators 1-Click and conventional Playlists sync sync Online Music Repository Similarity Matrix Online Music Player Online Music Shop Personal Radio Streams Social Networking
      • Most advanced fingerprinting and music analysis technology co-developped with the Fraunhofer Institute.
      • Only fingerprinting technology compliant with MPEG7 standard.
      • Superior accuracy and robustness (against distortions) of music recognition.
      • Only fingerprinting technology combining music recognition and recommendation.
      • Sophisticated extraction of all key musical characteristics like beat, rhythm, instruments, vocals, timbre etc.
      • recommendation engine that can be parameterized (e.g. find music with similar melody or similar vocal tone) ‏
      • Fully automatic, pure music-to-music analysis, that does not rely on subjective and limited genre categories, expert opinions or very general mood classifications (but can be enriched with editorial classifications, metadata or customer ratings).
      • Enables users to find music they like beyond top100s, and even with more unusual musical tastes.
      • Gives new and unknown artists the same chance to shine as those already well-established.
      • No “cold start" problems or unsuitable recommendations because of supposed connections between the similar behavior of users ("Customers who bought A also bought B").
      • Complete solutions for mobile recognition, metatagging, broadcast monitoring, content filtering, online / offline recommendation.
      • Full-featured, state-of-the-art PC and mobile clients and easy-to-implement SDKs available (including transfer and implementation to various CE devices possible).
      mufin USPs

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