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CVPR
2009
IEEE
15 years 4 months ago
Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline...
Abhinav Gupta (University of Maryland), Praveen Sr...
CVPR
2009
IEEE
14 years 3 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...
CIVR
2007
Springer
241views Image Analysis» more  CIVR 2007»
14 years 2 months ago
A robust scene recognition system for baseball broadcast using data-driven approach
We propose a robust scene recognition system for baseball broadcast videos. This system is based on the data-driven approach which has been successful in continuous speech recogni...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...
MM
2003
ACM
122views Multimedia» more  MM 2003»
14 years 1 months ago
Mobile video stream monitoring system
IMVS (Intelligent Mobile Video Stream Monitoring System) is a mobile video surveillance system. The objective of IMVS is to design a high performance video stream monitoring syste...
Kam-yiu Lam, Calvin K. H. Chiu
CVPR
2008
IEEE
14 years 10 months ago
Action snippets: How many frames does human action recognition require?
Visual recognition of human actions in video clips has been an active field of research in recent years. However, most published methods either analyse an entire video and assign ...
Konrad Schindler, Luc J. Van Gool