Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video

By Gal Lavee, Ehud Rivlin, Michael Rudzsky. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 2009

299 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/3e29c471ebc5911632105b04964412b7d8415546

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Shih-Fu Chang
2. Yu-Gang Jiang
3. Li Fei-Fei
4. Mubarak Shah
5. Alexandre Alahi
6. Trevor Darrell
7. Luc Van Gool
8. Serena Yeung

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Dacheng Tao
3. Xiaogang Wang
4. Ming-Hsuan Yang
5. Trevor Darrell
6. Li Fei-Fei
7. Jitendra Malik
8. Yi Yang

Citations in the corpus

• A Survey on Visual Content-Based Video Indexing and Retrieval (2011, background): “mine the classes of events in a video is an important component of content-based video classification [3], and it is connected with event detection in video data mining.”
• High-level event recognition in unconstrained videos (2012, methodology): “[67] reviewed event modeling methods, mostly in the context of simple human activity analysis.”
• Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals (2017, background): “Activity recognition in visual data is a widely studied problem in computer vision [22, 63, 35, 2], and a number of works have investigated this task in the domain of egocentric video [48, 8, 5, 30] and in combination with other wearable sensors [59, 44].”