kissing-detector

Kissing Detector

Detect kissing scenes in a movie using both audio and video features.

Project for Stanford CS231N

Build dataset

from pipeline import BuildDataset

videos_and_labels = [
    # (file name in base_path, label) where label is 1 for kissing and 0 for not kissing
    ('movies_casino_royale_2006_kissing_1.mp4', 1),
    ('movies_casino_royale_2006_kissing_2.mp4', 1),
    ('movies_casino_royale_2006_kissing_3.mp4', 1),
    ('movies_casino_royale_2006_not_1.mp4', 0),
    ('movies_casino_royale_2006_not_2.mp4', 0),
    ('movies_casino_royale_2006_not_3.mp4', 0),
    
    ('movies_goldeneye_1995_kissing_1.mp4', 1),
    ('movies_goldeneye_1995_kissing_2.mp4', 1),
    ('movies_goldeneye_1995_kissing_3.mp4', 1),
    ('movies_goldeneye_1995_not_1.mp4', 0),
    ('movies_goldeneye_1995_not_2.mp4', 0),
    ('movies_goldeneye_1995_not_3.mp4', 0),
]

builder = BuildDataset(base_path='path/to/movies',
                 videos_and_labels=videos_and_labels,
                 output_path='/path/to/output',
                 test_size=1 / 3)  # set aside 1 / 3 of data for validation
builder.build_dataset()

Data loader

Explorations:

• ConvNet, VGGish, or both
• ConvNet architectures: ResNet, VGG, AlexNet, SqueezeNet, DenseNet
• With and without pre-training
• (3DC)

Diagnostics

• Saliency maps
• Class viz
• Confusion matrices
• Detected segments
• Failure examples

TODO

• Define experiments
• ...