Multimedia content analysis-using both audio and visual clues
By Yao Wang, Zhu Liu, Jincheng Huang. IEEE Signal Processing Magazine, 2000
499 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/fe1bcae0cef2800643b7cefeb30fe279b65d672e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Cees G. M. Snoek
- Marcel Worring
- Mohan Kankanhalli
- Abdulmotaleb El Saddik
- M. Anwar Hossain
- Pradeep Kumar Atrey
- Naveen Kumar
- Harry W. Agius
In Signal Processing
- Cees G. M. Snoek
- Marcel Worring
- Mohan Kankanhalli
- M. Anwar Hossain
- Abdulmotaleb El Saddik
- Pradeep Kumar Atrey
- Harry W. Agius
- Panayiotis G. Georgiou
Citations in the corpus
- Video summarisation: A conceptual framework and survey of the state of the art (2008, methodology): “Wang et al. [16] provides a detailed review of some of the more common techniques used.”
- Hierarchy-aware Loss Function on a Tree Structured Label Space for Audio Event Detection (2019, background): “Recently it has gained popularity [1, 2, 3] due to its numerous applications in surveillance [4, 5], audio content understanding and retrieval [6], context detection [7], and even health monitoring systems [8].”
- Multimodal fusion for multimedia analysis: a survey (2010, methodology): “[138], Ding and Fan [38], Chaisorn et al.”
- Concept-Based Video Retrieval (2009, background): “The interested reader is referred to the following publications for text features [147] [199] and audio features [140] [261].”