Sequence to Sequence -- Video to Text

Real-world videos often have complex dynamics, methods for generating open-domain video descriptions should be sensitive to temporal structure and allow both input (sequence of frames) and output (sequence of words) of variable length. To approach this problem we propose a novel end-to-end sequence-...

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Bibliographic Details
Main Authors: Venugopalan, Subhashini, Rohrbach, Marcus, Donahue, Jeffrey, Mooney, Raymond, Darrell, Trevor, Saenko, Kate
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Conferences
Decoding
Descriptions
Encoding
Feature extraction
Frames
Mathematical model
Mathematical models
Optical imaging
Recurrent neural networks
Sentences
Sequences
Texts
Visualization
Online Access:Request full text
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