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» Learning Object Shape: From Drawings to Images
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CVPR
2011
IEEE
15 years 2 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
ICPR
2004
IEEE
16 years 7 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICCV
1995
IEEE
15 years 10 months ago
Fast Object Recognition in Noisy Images Using Simulated Annealing
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Margrit Betke, Nicholas C. Makris
EVOW
2008
Springer
15 years 8 months ago
Artificial Creatures for Object Tracking and Segmentation
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
Luca Mussi, Stefano Cagnoni
PCM
2001
Springer
145views Multimedia» more  PCM 2001»
15 years 11 months ago
Color Content Matching of MPEG-4 Video Objects
Abstract. Color histogram is one of the most widely used visual feature representations in content-based retrieval. When processing the image/video data in the JPEG/MPEG compressed...
Berna Erol, Faouzi Kossentini