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» Optimization of Content-Based Image Retrieval Functions
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IEEECIT
2005
IEEE
14 years 1 months ago
Case Study: Distance-Based Image Retrieval in the MoBIoS DBMS
Similarity search leveraging distance-based index structures is increasingly being used for complex data types. It has been shown that for high dimensional uniform vectors with si...
Rui Mao, Wenguo Liu, Daniel P. Miranker, Qasim Iqb...
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 1 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
3DPVT
2006
IEEE
194views Visualization» more  3DPVT 2006»
14 years 1 months ago
Histogram Matching for Camera Pose Neighbor Selection
A prerequisite to calibrated camera pose estimation is the construction of a camera neighborhood adjacency graph, a connected graph defining the pose neighbors of the camera set....
Kevin L. Steele, Parris K. Egbert, Bryan S. Morse
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 28 days ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang

Publication
1763views
14 years 3 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