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MM
2009
ACM
185views Multimedia» more  MM 2009»
15 years 4 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
MIR
2004
ACM
92views Multimedia» more  MIR 2004»
15 years 2 months ago
Researchexplorer: gaining insights through exploration in multimedia scientific data
An increasing amount of heterogeneous information about scientific research is becoming available on-line. This potentially allows users to explore the information from multiple p...
Bo Gong, Rahul Singh, Ramesh Jain
MM
2009
ACM
230views Multimedia» more  MM 2009»
15 years 4 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
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, ...
CIVR
2008
Springer
141views Image Analysis» more  CIVR 2008»
14 years 10 months ago
Experiments in interactive video search by addition and subtraction
We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system i...
John Adcock, Matthew L. Cooper, Jeremy Pickens