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PAMI
2012
6 years 6 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
IVC
2008
69views more  IVC 2008»
8 years 3 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
MM
2006
ACM
124views Multimedia» more  MM 2006»
8 years 10 months ago
Blazingly fast image copyright enforcement
Many photo agencies use the web to sell access to their image collections. Despite significant security measures, images may be stolen and distributed, making it necessary to det...
Herwig Lejsek, Friðrik Heiðar Ásmun...
ICIP
2007
IEEE
8 years 10 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
CVPR
2010
IEEE
9 years 22 days ago
Image Webs: Computing and Exploiting Connectivity in Image Collections
The widespread availability of digital cameras and ubiquitous Internet access have facilitated the creation of massive image collections. These collections can be highly interconn...
Kyle Heath
ICIP
2006
IEEE
9 years 6 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
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