Movie genre
classification: A multi-label approach based on convolutions through time
The task of labeling movies according to their
corresponding genre is a challenging classification problem, having in mind
that genre is an immaterial feature that cannot be directly pinpointed in any
of the movie frames. In this paper, we propose a novel deep neural architecture
based on convolutional neural networks for performing multi-label movie-trailer
genre classification. We compare the proposed approach with the current
state-of-the-art methods for movie classification that employ well-known image
descriptors and other low-level handcrafted features. Results show that our
method substantially outperforms the state-of-the-art for this task, improving
classification performance for all movie genres.
No comments:
Post a Comment