Organizing Video Search Results to Adapted Semantic Hierarchies for Topic-based Browsing
Author:
Affiliation:
1. Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China
2. Microsoft Research Asia, Beijing, China
3. City University of Hong Kong, Hong Kong, China
Funder
Ministry of Science and Technology of the People's Republic of China
Key Technologies Research and Development Program
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2647868.2655012
Reference14 articles.
1. Hierarchical clustering of WWW image search results using visual, textual and link information
2. Unsupervised image-set clustering using an information theoretic framework
3. Topic Tracking Across Broadcast News Videos with Visual Duplicates and Semantic Concepts
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1. Multimodal Classification of Violent Online Political Extremism Content with Graph Convolutional Networks;Proceedings of the on Thematic Workshops of ACM Multimedia 2017 - Thematic Workshops '17;2017
2. Hierarchical Visualization of Video Search Results for Topic-Based Browsing;IEEE Transactions on Multimedia;2016-11
3. Metadata Organization and Retrieval with Attribute Tree for Large-Scale Traffic Surveillance Videos;Big Data Computing and Communications;2015
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