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SIGIR
2008
ACM
13 years 3 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
CIKM
2010
Springer
13 years 2 months ago
Visual-semantic graphs: using queries to reduce the semantic gap in web image retrieval
We explore the application of a graph representation to model similarity relationships that exist among images found on the Web. The resulting similarity-induced graph allows us t...
Barbara Poblete, Benjamin Bustos, Marcelo Mendoza,...
TMM
2010
249views Management» more  TMM 2010»
12 years 10 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 5 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua
AMR
2007
Springer
139views Multimedia» more  AMR 2007»
13 years 9 months ago
Imagination: Exploiting Link Analysis for Accurate Image Annotation
Abstract. The advent of digital photography calls for effective techniques for managing growing amounts of color images. Systems that only rely on low-level image features are now...
Ilaria Bartolini, Paolo Ciaccia