Patent ID: 11921817
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A non-transitory computer-readable medium on which is stored data representing instructions for training a video feature extractor, wherein the video feature extractor is configured to extract a feature representation from a video sequence, the instructions, when executed by a processor system, causing the processor system to perform the following steps:
accessing training data representing multiple training video sequences, and model data representing a set of parameters of the video feature extractor;
training the video feature extractor by:
selecting from a training video sequence of the multiple training video sequences: a current subsequence, a preceding subsequence preceding the current subsequence; and a succeeding subsequence succeeding the current subsequence;
applying the video feature extractor to the current subsequence to extract a current feature representation of the current subsequence;
deriving a training signal from a joint predictability of the preceding and succeeding subsequences given the current feature representation, wherein deriving the training signal includes extracting a positive comparative example from the preceding subsequence followed by the succeeding subsequence, extracting a negative comparative example from the succeeding subsequence followed by the preceding subsequence, and determining a contrastive loss based on comparing the current feature representation to the positive and negative comparative examples;
updating the set of parameters of the video feature extractor based on the training signal;

outputting the trained video feature extractor.