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» Using Linguistic Models for Image Retrieval
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CIKM
2010
Springer
13 years 6 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 1 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
MM
2006
ACM
175views Multimedia» more  MM 2006»
14 years 1 months ago
Diversifying the image retrieval results
In the area of image retrieval, post-retrieval processing is often used to refine the retrieval results to better satisfy users’ requirements. Previous methods mainly focus on p...
Kai Song, YongHong Tian, Wen Gao, Tiejun Huang
SIGIR
2004
ACM
14 years 1 months ago
Image based gisting in CLIR
In this paper, we describe research which could lead to a novel approach to gathering an overview of a document in a foreign language. The research explores how much of the meanin...
Mark Sanderson, Robert Pasley
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 1 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua