Learning Temporal Embeddings for Complex Video Analysis

Understand

In this paper, we propose to learn temporal embeddings of video frames for complex video analysis.

• Large quantities of unlabeled video data can be easily obtained from the Internet.
• These videos possess the implicit weak label that they are sequences of temporally and semantically coherent images.
• We leverage this information to learn temporal embeddings for video frames by associating frames with the temporal context that they appear in.