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Compressed Domain Audio Fingerprinting

In an era overflowing with multimedia data, effective tools for audio search become essential. This talk, presented by TJ Tsai and Gerald Friedland, will explore innovative strategies for copy detection within audio search, focusing on enhancing efficiency in compressed domains. By drawing analogies and examining the methodologies of audio search, the presentation addresses the question of whether we can improve our detection processes without needing to decompress audio files. Join us to discover the potential for powerful, efficient tools tailored for multimedia analysis.

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Compressed Domain Audio Fingerprinting

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Presentation Transcript


  1. Compressed Domain Audio Fingerprinting TJ Tsai Gerald Friedland

  2. The Big Picture • There’s lots of multimedia data • We need tools to make sense of it Tools for multimedia Efficient, useful tools for audio search This talk

  3. Audio Search • What we can do: copy detection • Can we do it more efficiently? • An analogy • Working in compressed domain = don’t open box

  4. Comparison

  5. Audio Search • What we can do: copy detection • Can we do it more efficiently? • An analogy • Working in compressed domain = don’t open box • Yes, for many applications

  6. multimedia.icsi.berkeley.edu

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