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» Combining Image and Structured Text Retrieval
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WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
14 years 7 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
MMM
2006
Springer
107views Multimedia» more  MMM 2006»
14 years 3 months ago
History-based visual mining of semi-structured audio and text
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and timebased med...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...
WWW
2008
ACM
14 years 10 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
CLEF
2007
Springer
14 years 4 months ago
Baseline Results for the ImageCLEF 2007 Medical Automatic Annotation Task Using Global Image Features
Abstract. This paper provides baseline results for the medical automatic annotation task of CLEF 2007 by applying the image retrieval in medical applications (IRMA)-based algorithm...
Mark Oliver Güld, Thomas Martin Deserno
IWVF
2001
Springer
14 years 2 months ago
Color and Shape Index for Region-Based Image Retrieval
Abstract. Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leadin...
B. G. Prasad, S. K. Gupta, K. K. Biswas