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» Textural Features and Relevance Feedback for Image Retrieval
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ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
14 years 12 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...
SIGIR
2008
ACM
14 years 11 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
ICPR
2004
IEEE
16 years 25 days ago
The Morphological Top-Hat Operator Generalised to Multi-Channel Images
The morphological top-hat operator for greyscale images is part of the basic toolbox of mathematical morphology operators. We discuss two ways of generalising the tophat operator ...
Allan Hanbury
JMM2
2008
107views more  JMM2 2008»
14 years 11 months ago
Finding Interesting Images in Albums using Attention
Commercial systems such as Flickr display interesting photos from their collection as an interaction mechanism for sampling the collection. It purely relies on social activity anal...
Karthikeyan Vaiapury, Mohan S. Kankanhalli
DIAL
2004
IEEE
170views Image Analysis» more  DIAL 2004»
15 years 3 months ago
A General System for the Retrieval of Document Images from Digital Libraries
Large collections of scanned documents (books and journals) are now available in Digital Libraries. The most common method for retrieving relevant information from these collectio...
Simone Marinai, Emanuele Marino, Francesca Cesarin...