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» A survey of methods for image annotation
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121
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BMCBI
2008
137views more  BMCBI 2008»
15 years 1 months ago
Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data
Background: Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene name...
Michael J. Gilchrist, Mikkel B. Christensen, Richa...
106
Voted
ICRA
2008
IEEE
149views Robotics» more  ICRA 2008»
15 years 8 months ago
Information-optimal selective data return for autonomous rover traverse science and survey
— Selective data return leverages onboard data analysis to allocate limited bandwidth resources during remote exploration. Here we present an adaptive method to subsample image s...
David R. Thompson, Trey Smith, David Wettergreen
MM
2009
ACM
269views Multimedia» more  MM 2009»
15 years 8 months ago
Semi-supervised topic modeling for image annotation
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hu...
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...
CLEF
2008
Springer
15 years 3 months ago
Exploiting Term Co-occurrence for Enhancing Automated Image Annotation
This paper describes an application of statistical co-occurrence techniques that built on top of a probabilistic image annotation framework is able to increase the precision of an ...
Ainhoa Llorente, Simon E. Overell, Haiming Liu 000...