AV recognition

Teacher: We*-ch*** L**

Presenter : P***A Hi**ng

Outline

• Motivation• Purpose scheme• Conclusion• Comment

AV!OUT! 70% successful rate未來加強輪廓辨識，像是身形曲線、器官等，才能更精準提升過濾功能。Is this have more smart way to solve that?AV Killer讓 Youtube笑了

Client Server

AlgorithmpyNumpySci

pyMatplot

Purpose scheme - System architecture

SOD

MIC

AV’sslice

TrainingProcess

Identify Process

DB(MS SQL)

Purpose scheme – Algorithm

Input

Regular

Section

Filter

FFT

Sum up

二次微分

特徵比對

Eigen value

• 時域：音高＋波形• 頻域：共振峰

SOD

For example

• Mr. children – GIFT• Linked Park – New divide • Teriyaki boyz - Tokyo drift

For example

• Sector 01• Sector 02• Sector 03• Sector 04• Sector 05

Tokyo Drift

SOD

Conclusion

• Training Video in database by “D:\”• Finish the processes of “sector” and “filter”

• Releasing the AV-killer version α

Questions

• 特徵值設計• 分數評比的權重值• 還有特殊案例• 執行效率問題• 成功機率• 小發現 :可以找出配樂喜好及主角分類

很憋得對角戲＞搭配影像？

樣本夠大就可以 ?