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» Image Retrieval Using a Hierarchy of Clusters
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Publication
1763views
14 years 4 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
PAMI
2012
11 years 10 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
ICCV
2003
IEEE
14 years 9 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
3DPVT
2006
IEEE
175views Visualization» more  3DPVT 2006»
14 years 1 months ago
On 3D Retrieval from Photos
In this paper, we propose a method for 3D-model retrieval from one or more photos. This method provides an ”optimal” selection of 2D views to represent a 3D-model, and a proba...
Tarik Filali Ansary, Jean-Philippe Vandeborre, Moh...
ICDE
2008
IEEE
241views Database» more  ICDE 2008»
14 years 9 months ago
PictureBook: A Text-and-Image Summary System for Web Search Result
Search engine technology plays an important role in Web information retrieval. However, with Internet information explosion, traditional searching techniques cannot provide satisfa...
Baile Shi, Guoyu Hao, Hongtao Xu, Mei Wang, Qi Zha...