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Video Processing MCQ
Time adds another axis: sampling frames, modeling motion, and building representations for video tasks.
Frames
Time axis
Clip
T seconds
Motion
Temporal change
3D conv
Space–time
Vision meets time
Video is a sequence of frames (or volumetric data). Pipelines sample clips at a frame rate, optionally compute optical flow or use 3D convolutions / transformers over space-time tokens. Tasks include action recognition, detection in video, and generation.
Temporal context
Single frames may be ambiguous; neighboring frames disambiguate motion and actions.
Key ideas
Frame sampling
FPS, stride, and clip length trade compute vs motion cues.
3D convolution
Extends kernels over time and space in one op.
Two-stream
RGB path + optical-flow path fused for actions.
Memory
RNNs or attention aggregate time after per-frame CNN features.
Simple pipeline
decode clip → preprocess → temporal model → task head