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ICCV
2009
IEEE
1611views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Packing bag-of-features
One of the main limitations of image search based on bag-of-features is the memory usage per image. Only a few million images can be handled on a single machine in rea- sonable ...
Herve Jegou, Matthijs Douze, Cordelia Schmid
ICIP
1995
IEEE
15 years 11 months ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng
CIVR
2003
Springer
198views Image Analysis» more  CIVR 2003»
15 years 3 months ago
Text or Pictures? An Eyetracking Study of How People View Digital Video Surrogates
bstract and display digital video surrogates. This study reports on an investigation of digital video results pages that use textual and visual surrogates. Twelve subjects selected...
Anthony Hughes, Todd Wilkens, Barbara M. Wildemuth...
ACCV
2010
Springer
14 years 5 months ago
Human Pose Estimation Using Exemplars and Part Based Refinement
In this paper, we proposed a fast and accurate human pose estimation framework that combines top-down and bottom-up methods. The framework consists of an initialization stage and a...
Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shiho...
SSIAI
2000
IEEE
15 years 2 months ago
Hybrid Hidden Markov Model for Face Recognition
In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR)...
Hisham Othman, Tyseer Aboulnasr