2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDMLR-APPL-IVASR-5.9
Paper Title RETHINKING GENRE CLASSIFICATION WITH FINE GRAINED SEMANTIC CLUSTERING
Authors Edward Fish, Jon Weinbren, Andrew Gilbert, University of Surrey, United Kingdom
SessionMLR-APPL-IVASR-5: Machine learning for image and video analysis, synthesis, and retrieval 5
LocationArea C
Session Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Time:Tuesday, 21 September, 15:30 - 17:00
Presentation Poster
Topic Applications of Machine Learning: Machine learning for image & video analysis, synthesis, and retrieval
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Abstract Movie genre classification is an active research area in machine learning; however, the content of movies can vary widely within a single genre label. We expand these 'coarse' genre labels by identifying 'fine-grained' contextual relationships within the multi-modal content of videos. By leveraging pre-trained 'expert' networks, we learn the influence of different combinations of modes for multi-label genre classification. Then, we continue to fine-tune this 'coarse' genre classification network self-supervised, to sub-divide the genres based on the multi-modal content of the videos. Our approach is demonstrated on a new multi-modal 37,866,450 frame, 8,800 movie trailer dataset, MMX-Trailer-20, which includes pre-computed audio, location, motion, and image embeddings.