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» Document Retrieval Using SIFT Image Features
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149
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MM
2004
ACM
195views Multimedia» more  MM 2004»
15 years 8 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...
245
Voted
AAAI
2008
15 years 5 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
108
Voted
ICDAR
2009
IEEE
15 years 9 months ago
Locally Developable Constraint for Document Surface Reconstruction
This article presents a global optimization approach to reconstruct surfaces from a single document image. Instead of assuming globally developable in previous works which restric...
Yuanlong Shao, Xinguo Liu, Xueying Qin, Yi Xu, Huj...
130
Voted
PRICAI
2010
Springer
15 years 1 months ago
Layered Hypernetwork Models for Cross-Modal Associative Text and Image Keyword Generation in Multimodal Information Retrieval
Conventional methods for multimodal data retrieval use text-tag based or cross-modal approaches such as tag-image co-occurrence and canonical correlation analysis. Since there are ...
JungWoo Ha, Byoung-Hee Kim, Bado Lee, Byoung-Tak Z...
123
Voted
CVPR
2007
IEEE
16 years 4 months ago
Learning Visual Similarity Measures for Comparing Never Seen Objects
In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Eric Nowak, Frédéric Jurie