Video summarization: methods and landscape
By M. Barbieri, L. Agnihotri, N. Dimitrova. 2003
25 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Summarization, Signal Processing
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
- Andy Zeng
- Michael S. Ryoo
- Vikas Sindhwani
- Krzysztof Marcin Choromanski
- Peter R. Florence
- Alexandros I. Metsai
- Eleni Adamantidou
- Adrian S. Wong
In Computer Vision and Pattern Recognition
- Kristen Grauman
- Andy Zeng
- Luc Van Gool
- Dacheng Tao
- Li Fei-Fei
- Jitendra Malik
- Andrew Zisserman
- Trevor Darrell
In Signal Processing
- Harry W. Agius
- Michael S. Ryoo
- Krzysztof Marcin Choromanski
- Vikas Sindhwani
- Johnny Lee
- Vincent Vanhoucke
- Arthur G. Money
- Andy Zeng
Citations in the corpus
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language (2022, methodology): “Our system draws similarity to early work in the area involving text-based summarization and identifying key frames (see [121] for an early survey and [122, 123] for more recent surveys).”
- Video Summarization Using Deep Neural Networks: A Survey (2021, background): “[1] classify the relevant bibliography according to several aspects of the summarization process, namely the targeted scenario, the type of visual content, and the characteristics of the summarization approach.”
- Video summarisation: A conceptual framework and survey of the state of the art (2008, background): “In order to identify and extract the various audiovisual cues to be included within video summaries, the underlying content of a video must first be analysed [4].”