Predicting video edits from text-based conversations using neural networks
AssigneeAdobe Inc.
InventorsUttaran Bhattacharya, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli
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AssigneeAdobe Inc.
InventorsUttaran Bhattacharya, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli
Estimating the term…
Embodiments are disclosed for predicting, using neural networks, editing operations for application to a video sequence based on processing conversational messages by a video editing system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a video sequence and text sentences, the text sentences describing a modification to the video sequence, mapping, by a first neural network content of the text sentences describing the modification to the video sequence to a candidate editing operation, processing, by a second neural network, the video sequence to predict parameter values for the candidate editing operation, and generating a modified video sequence by applying the candidate editing operation with the predicted parameter values to the video sequence.
A computer-implemented method comprising:
A non-transitory computer-readable storage medium storing executable instructions, which when executed by a processing device, cause the processing device to perform operations comprising:
A system comprising:
Dependencies are inferred from the claim text.