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The Future of Digital Media - Prof. K.H. Brandenburg - Media In Transition 2007
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The Future of Digital Media - Prof. K.H. Brandenburg - Media In Transition 2007

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Prof. Brandenburg, inventor of the MP3 Standard, speaks about Innovation at Fraunhofer Institute for Digital Media Technology

Prof. Brandenburg, inventor of the MP3 Standard, speaks about Innovation at Fraunhofer Institute for Digital Media Technology

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  • 1. The Future of Media Technologies Karlheinz Brandenburg Technische Universität Ilmenau, Institut für Medientechnik Fraunhofer Institut für Digitale Medientechnologie September, 2007 Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 1
  • 2. Overview • Old dreams, new reality • Scenarios of media use – The “home stereo” of tomorrow • To DRM or not to DRM ? • Rich Media Management • Conclusions Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 2
  • 3. What is going on in consumer electronics ? • Digital TV – Still not in the majority of homes • Internet Audio – On all computers, 40% of people us it – For Christmas, mp3 players are on the top spot of childrens wish lists ☺ • Music from all around – There is serious competition for radio • DVD Audio / SACD – Where are they ? Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 3
  • 4. What is happening to the „old media“ ? • For the first time in 50 years: the average time young people spent in front of the TV screen is decreasing • Radio looses a substantial amount of listeners, especially among young people • People spend more money on computer games • Record companies and Hollywood studios complain about less business Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 4
  • 5. Global trends: Quantity leads to paradigm changes • The number of TV programs: –1 –5 – 35 – 300 – 3000 • How do I find my favorite program ? • EPGs, web sites, communities, Podcasts • Example: MusicMatch Radio: Radio or not ? Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 5
  • 6. Global trends: Global reach for special interests • Special interests find their – Web sites – Music – Video – Discussion place on the Web • Just 100 people can establish a well organised global group • Blogs, fora, chat rooms, cooperative computer games create virtual worlds Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 6
  • 7. New equipment (this was never sold) Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 7
  • 8. Where are my multimedia data ? • Physically stored in my home (CD, DVD) • On my home server • On my PDA or mobile phone • Detached on the net • Just recreated from metadata whenever I need them Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 8
  • 9. Examples: The future home stereo setup (really ?? ☺) Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 9
  • 10. The home stereo of tommorow: • Remembers my music: – Each CD gets ripped just when I play it • Helps to search for my favorite music – “query by humming” – Look for certain genres – Searches the Internet – Where can I listen to / buy this music ? • Helps to assemble my favorite music playlist – What is similar, but new ? – “please play my favorite music for this time of the day” Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 10
  • 11. To DRM or not to DRM ☺ • Ideas for protected media content have been around since the mid 90s • Early systems lacked sophistication • SDMI – Initiated by the music industry – Work on requirements for DRM systems – Success or failure ? • Current systems: – Windows DRM – Fairplay – OMA 1.0, 2.0 – Music distribution without DRM Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 11
  • 12. Requirements for successful applications: • Ease of use: – work everywhere, on all equipment = interoperability • Add value: – digital is more than just the same product add-on text / pictures / video / special sale etc. • Make illegal use more difficult – enough copy protection to make piracy a conscious decision Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 12
  • 13. Basic Building Blocks and Concepts • Secure envelope • Scrambling / encryption • Robust embedding of data (watermarking) • Authentication – User authentication – “Bind to”, authenticate content • Secure Authenticated Channel • Super Distribution Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 13
  • 14. User expectations • For personal use, music (on Redbook CD) can be – moved (from home stereo to the car) – copied (for example to tape) – shared between family members – lent to my best friend • All compliant CDs used to play on all equipment with the same physical form factor (interoperability) • Current technology (mp3) allows all of the above • Secure Electronic Music Distribution (EMD) has to meet these expectations Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 14
  • 15. PotatoSystem – Alternative Approach to Music Distribution • Innovative and flexible alternative for artists and labels to sell music using MP3 • Applies neither copy protection nor DRM • Customers can super-distribute the purchased music via their websites and receive a commission • Provides many useful features: – Accounting with collecting societies – Individual design of online musicshops – Selling music on MySpace Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 15 4FriendsOnly.com Internet Technologies AG
  • 16. Selling with the PotatoSystem • Artists, labels or download portals provide their files on their own servers • They register the songs in the PotatoSystem (via web form or Excel file upload) • They are free in choosing price and currency • The PotatoSystem provides an applicable iFrame for each registered file or album Revenue splitting 43% – 78% Proportion for original suppliers (labels, artists and portals) depending on resellers level 5% – 35% Commissions for resellers (depending on reseller level) 17% Transaction costs (payment, licence fees) 5% PotatoSystem Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 16 4FriendsOnly.com Internet Technologies AG
  • 17. Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 17
  • 18. Rich Media Management Multimodal metadata retrieval • Context-based metadata creation (User, Usage) • Content-based metadata creation (Rhythm, Genre, Mood, Harmony, .. ) Storage of feature vectors and textual metadata Machine learning (Clustering, context adaptation,..) Supports content-based/semantic queries Allows for a lot of new services & applications Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 18
  • 19. How to gather metadata ? – Expert knowledge, deploying the public, Sources metadata services (CDDB, FreeDB) – Context-derived, collaborative filtering – Automated extraction of relevant features Content-derived from the content data – Find clusters in the high-dimensional feature space that represent semantic properties or similarities – Efficient algorithms ( »embedded«) Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 19
  • 20. Multimedia Information Retrieval – available technologies Recognition, – AV-recognition (AudioID, PhotoID, VideoID) Similarity – AV-similarity (Soundslike, PhotoID) – Song-segmentation Semantic Analysis – Genre classifikation (GenreID), Speech-/Music discrimination – Dominant melody transcription, Query by Humming (QbH) – Bass transcription – Tempo-, beat determination – Drum pattern transcription – Harmony transcription – Face-, object detection & identification – (Lead-) instrument recognition – Singer detection and characterization Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 20
  • 21. AudioID Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 21
  • 22. AudioID – the basic idea Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 22
  • 23. Query by Humming at Saturn-Markt, München Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 23
  • 24. MIR-Technologies – Music Segmentation • Inner-song similarities / dissimilarities based on a set of low-level audio features • Measure of innovation • Segment classification (verse, chorus) Intelligent navigation within songs • Retrieval of most significant part of a song (“audio-thumbnail”) • Basis for a deeper semantic analysis of the segments (lead instrument, vocals, etc. ) Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 24
  • 25. AudioID – Sonos: Modeling Perceptual Music Similarities Holistic • Each song represents just one single class • Use distance metric from a holistic feature space (e.g. vs. euclidian distance) too simple! Modular • Each song exhibits certain semantic properties (aspects) classification • Measure the aspect qualities and build an aspect-profile approach • Translate audio content into the semantic space Select aspects according to their perceptual relevancy objective subjective • genre affiliation • mood: happy vs. sad • drums vs. no drums • aggressive vs. • singer vs. no singer calmative • slow vs. fast Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 25
  • 26. Conclusions • The age of digital media has just started • Signal processing brings us a lot of new possibilities for future home multimedia devices • Searching and recommendation are crucial applications for tommorow‘s media architectures • For distribution of media: win your consumers with reasons why to buy Prof. Karlheinz Brandenburg, bdg@iis.fraunhofer.de Page 26