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» Combining Textual and Visual Features for Image Retrieval
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CAIP
1999
Springer
139views Image Analysis» more  CAIP 1999»
15 years 2 months ago
Image Retrieval System Based on Machine Learning and Using Color Features
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
Janez Demsar, Dragan Radolovic, Franc Solina
ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
14 years 9 months ago
A Probability Model for Image Annotation
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. Traditionally, statistical models for image auto-annotation predicate each...
Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuq...
AVI
2008
15 years 1 days ago
Scenique: a multimodal image retrieval interface
Searching for images by using low-level visual features, such as color and texture, is known to be a powerful, yet imprecise, retrieval paradigm. The same is true if search relies...
Ilaria Bartolini, Paolo Ciaccia
ICIAR
2007
Springer
15 years 3 months ago
Image Retrieval Using Transaction-Based and SVM-Based Learning in Relevance Feedback Sessions
This paper introduces a composite relevance feedback approach for image retrieval using transaction-based and SVM-based learning. A transaction repository is dynamically constructe...
Xiaojun Qi, Ran Chang
JUCS
2011
161views more  JUCS 2011»
14 years 4 months ago
Document Retrieval Using SIFT Image Features
: This paper describes a new approach to document classification based on visual features alone. Text-based retrieval systems perform poorly on noisy text. We have conducted serie...
Dan Smith, Richard Harvey