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» Combining Textual and Visual Features for Image Retrieval
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ISCI
2008
86views more  ISCI 2008»
14 years 9 months ago
Image retrieval model based on weighted visual features determined by relevance feedback
Woo-Cheol Kim, Ji-Young Song, Seung-Woo Kim, Sangh...
88
Voted
BMVC
2010
14 years 7 months ago
Trans Media Relevance Feedback for Image Autoannotation
Automatic image annotation is an important tool for keyword-based image retrieval, providing a textual index for non-annotated images. Many image auto annotation methods are based...
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li
ICDAR
2011
IEEE
13 years 9 months ago
Character n-Gram Spotting in Document Images
—In this paper, we present a novel approach to search and retrieve from document image collections, without explicit recognition. Existing recognition-free approaches such as wor...
M. Sudha Praveen, K. Pramod Sankar, C. V. Jawahar
MM
2006
ACM
217views Multimedia» more  MM 2006»
15 years 3 months ago
IGroup: a web image search engine with semantic clustering of search results
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clusterin...
Feng Jing, Changhu Wang, Yuhuan Yao, Kefeng Deng, ...