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» Improved face finding in visually challenging environments
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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Improved face finding in visually challenging environments
Finding faces in visually challenging environments is crucial to many applications, such as audio-visual automatic speech recognition, video indexing, person recognition, and vide...
Jintao Jiang, Gerasimos Potamianos, Giridharan Iye...
CLEF
2009
Springer
13 years 2 months ago
Users' Image Seeking Behavior in a Multilingual Tag Environment
: This paper presents the results of a user study conducted in the framework of the Interactive Image Retrieval task at CLEF 2009. The main goal of our research is to understand th...
Miguel E. Ruiz, Pok Chin
ICCV
2003
IEEE
13 years 10 months ago
An automatic drowning detection surveillance system for challenging outdoor pool environments
Automatically understanding events happening at a site is the ultimate goal of visual surveillance system. This paper investigates the challenges faced by automated surveillance s...
How-Lung Eng, Kar-Ann Toh, Alvin Harvey Kam, Junxi...
CVPR
2008
IEEE
14 years 7 months ago
Finding people in archive films through tracking
The goal of this work is to find all people in archive films. Challenges include low image quality, motion blur, partial occlusion, non-standard poses and crowded scenes. We base ...
Xiaofeng Ren
CIVR
2004
Springer
205views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Finding Person X: Correlating Names with Visual Appearances
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...