Presentation for Software Dev

1. Keith Lohnes
Pat Ruppel
Adrian Wisernig

2. "
 Determine best language
 Speed
 Robustness
 Portability
 Available Libraries
 Ease of Implementation
 Experiment with different algorithms
Proto-Prototypes

3. "
 Java
 Tritonus
 jLayer
 jTransforms
Scratch

4. "
 Java
 Library for extracting features from audio files
 28 implemented features
 GUI for testing
 XML driven
 Wide Array of formats supported
jAudio

5. "
 C/C++
 Multimedia Fingerprinting Library
 Supports Video, Images & Audio
 GPLv3
pHash

6. "
Project Requirements pHash
Audio Fingerprinting Video,Image & Audio Fingerprinting
Substring Comparison Only a few seconds are needed for match
Speed C/C++
Runs on Lab Computers( Ubuntu) Open Source/Linux friendly
Confidence Level Bit Error Rate between hashes( 0-1)
Comparison

7. "
 Compiling code on Debian/Ubuntu
 Portability (sudo, etc)
 Library dependencies
 Developed mainly to prove thesis
 Lack of documentation
 Lack of widespread use (apt-cache rdepends
libphash0)
 Lack of C++ knowledge
There is no Silver Bullet

8. "
 IRC
 Stack Overflow
 Mailing list
 Discovered several bugs associated with
compilation
 Will be part of next version of pHash
But with a little help…

9. "
 Bash Script
 C++ File (87 lines)
Project Overview

10. "
Bash Script

11. "
C++

12. "
Calculate Hashes

13. "
Determine Match

14. "
Done

15. "
 Bark Scale - Looks only at frequencies that
humans hear
 Frame size - 0.21 seconds
 The value is based on the bark scale values of
the frame FFT spectrum
 Hash computed from temporal and spectral
differences on the bark scale.
 Compares Bit Error Rate between different
hashes, normalized for time.
Yeah but…

16. "
 http://www.phash.org/docs/design.html
 http://www.phash.org/docs/pubs/
thesis_zauner.pdf
Learn More

17. "
 Use threads to generate hashes concurrently
 Make format detection more robust
 Better way of determining % of confidence
 Refactor
Improvements

18. "
End
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