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ICMCS
2007
IEEE
167views Multimedia» more  ICMCS 2007»
13 years 4 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...
ICTAI
2010
IEEE
13 years 2 months ago
A Semantic Similarity Language Model to Improve Automatic Image Annotation
In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automa...
Tianxia Gong, Shimiao Li, Chew Lim Tan
CVPR
2004
IEEE
14 years 6 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko
NIPS
2003
13 years 5 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
CIKM
2004
Springer
13 years 10 months ago
Regularizing translation models for better automatic image annotation
The goal of automatic image annotation is to automatically generate annotations for images to describe their content. In the past, statistical machine translation models have been...
Feng Kang, Rong Jin, Joyce Y. Chai