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CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
13 years 10 months ago
Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
Shingo Uchihashi, Takeo Kanade
ICMCS
2005
IEEE
155views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Content-Free Image Retrieval Based on Relations Exploited from User Feedbacks
We propose a new “content-free” image retrieval method which attempts to exploit certain common tendencies that exist among people’s interpretation of images from user feedb...
Shingo Uchihashi, Takeo Kanade
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen
ICDAR
2005
IEEE
13 years 10 months ago
A Segmentation-free Approach for Keyword Search in Historical Typewritten Documents
In this paper, we propose a novel segmentation-free approach for keyword search in historical typewritten documents combining image preprocessing, synthetic data creation, word sp...
Basilios Gatos, Thomas Konidaris, Kostas Ntzios, I...
ICPR
2008
IEEE
14 years 5 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone