1. Week 9 Fatemeh Yazdiananari

2. Accomplished Tasks  Fixed the issues with classifiers  We retrained SVMs with the new UCF101 histograms  On temporally untrimmed videos:  Three test scenarios: A) Temporal trimming of validation videos (baseline) B) Whole-video histogram C) Sliding window: uniform windows, regardless of the content D) Sliding window: uniform windows, aligned with the content E) Max pooling on sliding windows

3. Accomplished Tasks  Fixed the issues with classifiers  We retrained SVMs with the new UCF101 histograms  On temporally untrimmed videos:  Three test scenarios: A) Temporal trimming of validation videos (baseline) B) Whole-video histogram C) Sliding window: uniform windows, regardless of the content D) Sliding window: uniform windows, aligned with the content E) Max pooling on sliding windows ✔ ✔ ✔ ✔

4. Sliding Window (Overlapping) Trimmed (full) Trimmed (10 sec) Whole Video Sliding Window (10 sec) Sliding Window – Overlapping Instance by Instance Accuracy 47.61%58.33%42.85%44.7%45.32% Weighted 50%64.28%N/A64.28% Max pooling 50%64.28%N/A64.28%

5. RESULTS Trimmed (full clip) Video #GT Class Max Pooling Classification Weighted Classification Accuracy by Instance # of Instance 1Hand Stand PushupsApply Lipstick 02 2Juggling Balls 1002 3Typing 1001 4Body Weight SquatsBlow Dry Hair 01 5Rope ClimbingBlow Dry Hair 03 6Baseball PitchIce Dancing 01 7Playing Violin 66.63 8Playing Guitar 1001 9Push UpsBlow Dry Hair 01 10Juggling Balls 1001 11Clean And Jerk 1001 12Jump RopePommel Horse 01 13Swing 1001 14Golf SwingBlow Dry HairPlaying Piano02

6. RESULTS Trimmed (10 sec long) Video #GT Class Max Pooling Classification Weighted Classification Accuracy by Instance # of Instance 1Hand Stand PushupsApply Lipstick 02 2Juggling Balls 502 3Typing 1001 4Body Weight Squats 1001 5Rope ClimbingBlow Dry Hair 03 6Baseball PitchIce Dancing 01 7Playing Violin 66.663 8Playing Guitar 1001 9Push Ups 1001 10Juggling Balls 1001 11Clean And Jerk 1001 12Jump RopeTrampoline Jumping 01 13Swing 1001 14Golf SwingBlow Dry HairPlaying Piano02

7. RESULTS Whole Video Video #GT ClassClassificationAccuracy 1Hand Stand PushupsHaircut0 2Juggling Balls 100 3Typing 100 4Body Weight SquatsBlow Dry Hair0 5Rope ClimbingBlow Dry Hair0 6Baseball PitchPole Vault0 7Playing ViolinHaircut0 8Playing Guitar 100 9Push UpsBlow Dry Hair0 10Juggling Balls 100 11Clean And Jerk 100 12Jump RopePommel Horse0 13Swing 100 14Golf SwingSoccer Juggling0

8. RESULTS Sliding Window (10 sec long) Video #GT Class Max Pooling Classification Weighted Classification Accuracy by Window # of Windows 1Hand Stand PushupsApply LipstickGolf Swing08 2Juggling Balls 76.4717 3Typing 77.789 4Body Weight Squats 3020 5Rope ClimbingBlow Dry Hair 017 6Baseball PitchPole Vault 06 7Playing ViolinHair cut 010 8Playing Guitar 62.58 9Push Ups 46.1513 10Juggling Balls 10017 11Clean And Jerk 1001 12Jump RopePommel HorseMopping Floor08 13Swing 1003 14Golf Swing 33.39

9. RESULTS Overlapping Sliding Window (10 sec long) Video #GT Class Max Pooling Classification Weighted Classification Accuracy by Window # of Windows 1Hand Stand PushupsGolf Swing 02623 2Juggling Balls 80.325269 3Typing 81.342240 4Body Weight Squats 38.526091 5Rope ClimbingBlow Dry Hair 1.455370 6Baseball PitchPole VaultField Hockey Penalty01934 7Playing ViolinHaircut 13.63120 8Playing Guitar 422218 9Push Ups 41.54159 10Juggling Balls 97.905348 11Clean And Jerk 99.79495 12Jump RopePommel HorseMopping Floor02450 13Swing 97.0561052 14Golf Swing 40.892755

10. Comments on Overlapping Window and Weighted Classification  Video #18 (rope climbing) have 1.45% accuracy in overlapping sliding window  These correctly identified windows did not have high probability values for this reason weighted classification wasn’t able to predict the correct class of the video.  Same goes for Video #31 (playing violin)