Joint Visual and Audio Learning for Video Highlight Detection

Author:

Badamdorj Taivanbat1,Rochan Mrigank2,Wang Yang2,Cheng Li1

Affiliation:

1. University of Alberta,Department of Electrical and Computer Engineering,Canada

2. Huawei Noah’s Ark Lab,Canada

Publisher

IEEE

Reference57 articles.

1. Learning Spatiotemporal Features with 3D Convolutional Networks

2. Detecting highlights in sports videos: Cricket as a test case;tang;Proceedings of the IEEE International Conference on Multimedia and Expo (ICME),2011

3. Video summarization using fully convolutional sequence networks;rochan;Proceedings of the European Conference on Computer Vision (ECCV),2018

4. Video Summarization by Learning From Unpaired Data

5. Adaptive video highlight detection by learning from user history;rochan;Proceedings of the European Conference on Computer Vision (ECCV),2020

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1. Coarse-to-Fine Recurrently Aligned Transformer with Balance Tokens for Video Moment Retrieval and Highlight Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Multimodal Video Highlight Detection with Noise-Robust Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Enhancing multimedia management: cloud-based movie type recognition with hybrid deep learning architecture;Journal of Cloud Computing;2024-05-17

5. MCT-VHD: Multi-modal contrastive transformer for video highlight detection;Journal of Visual Communication and Image Representation;2024-05

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