Processing videos based on temporal stages
AssigneeIntel Corporation
InventorsSovan Biswas, Anthony Daniel Rhodes, Ramesh Radhakrishna Manuvinakurike, Giuseppe Raffa, Richard Beckwith
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AssigneeIntel Corporation
InventorsSovan Biswas, Anthony Daniel Rhodes, Ramesh Radhakrishna Manuvinakurike, Giuseppe Raffa, Richard Beckwith
Estimating the term…
Disclosed is a technical solution to process a video that captures actions to be performed for completing a task based on a chronological sequence of stages within the task. An example system may identify an action sequence from an instruction for the task. The system inputs the action sequence into a trained model (e.g., a recurrent neural network), which outputs the chronological sequence of stages. The RNN may be trained through self-supervised learning. The system may input the video and the chronological sequence of stages into another trained model, e.g., a temporal convolutional network. The other trained model may include hidden layers arranged before an attention layer. The hidden layers may extract features from the video and feed the features into the attention layer. The attention layer may determine attention weights of the features based on the chronological sequence of stages.
A method for video processing, comprising:
One or more non-transitory computer-readable media storing instructions executable to perform operations for video processing, the operations comprising:
An apparatus for video processing, the apparatus comprising:
Dependencies are inferred from the claim text.