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Outline

Outline. ADBOT Progress Report. Achievements Project Outputs Issues Risk Analysis Target for the next three months Project Manager: Aljon Rey P. Aniban Members: Emmanuel B. Cagadas Anna Mae C. Yap. Works that have been achieved over the past month. I. Achievements.

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Outline

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  1. Outline ADBOT Progress Report Achievements Project Outputs Issues Risk Analysis Target for the next three months Project Manager: Aljon Rey P. Aniban Members: Emmanuel B. Cagadas Anna Mae C. Yap

  2. Works that have been achieved over the past month I. Achievements

  3. Achievements (1) • Web Page Revision (2nd Semester): • Revision of Project Objectives • Utilization of the landmark-based audio fingerprinting algorithm which was based on Dan Ellis’s version of the algorithm used in Shazam’s music matching service. • Conversion of the current MatLab simulation of the algorithm to JAVA • Revision of Methodology and Framework • Segmentation of commercial audio template, extraction of prominent points, incorporating these points into pairs and efficient searching and matching of the stored commercials to the audio stream input.

  4. Achievements (2) • Project Web Page

  5. Achievements (3) • Matching of a single audio commercial to an audio of mixed contents • Matching of multiple commercial queries to an audio of mixed contents • Audio recording from microphone and audio playing in JAVA

  6. progress milestones/deliverables achieved during the last month. II. Project Outputs

  7. Project Outputs • Revised Project Web Page • Matching of multiple commercial queries simulated in MatLab • Recording of audio commercials via microphone in JAVA • Partial gathering of additional audio commercial test data

  8. III. Issues

  9. Issues (1) • Integration of Octave and JAVA • For ease of use of the functions present in the MatLab simulation to JAVA by forming the same structure in Octave. • The need for boundary detection • To lessen the computation load and memory usage

  10. Issues (2) • Large file size of wav files compared to other audio formats (i.e mp3) • Probable increase in computation time of the algorithm when Octave is incorporated with JAVA due to outside function calls.

  11. IV. Risk Analysis

  12. Risk Analysis • Real time versus Offline Commercial Detection • The time and space complexity that will be handled by the proposed system given that it is in real time.

  13. V. Target for the next 3 months

  14. Targets for the Next 3 Months • Add boundary detection feature for queried commercials. (Currently being designed) • Generate the equivalent Octave codes from the simulated algorithm in MatLab • Incorporate generated Octave codes with the JAVA prototype of the application.

  15. Targets for the Next 3 Months • Design the database prototype and data gathering of additional commercials. • Finalize the design of the whole application (GUI, database and underlying design of algorithm) • Test the efficiency of the modified algorithm.

  16. Thank you End of presentation.

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