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ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
13 years 11 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
BMVC
2010
13 years 8 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
SIGIR
2011
ACM
13 years 27 days ago
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a popular image representation for Content-Based Image Retrieval (CBIR), mainly because of its better retrieval effectiven...
Savvas A. Chatzichristofis, Konstantinos Zagoris, ...
ICIP
2003
IEEE
14 years 11 months ago
Scalable object-based image retrieval
Digital visual libraries have currently available huge amounts of content in unstructured, nonindexed form. Since these collections keep growing fast, retrieving specific images i...
Tsz Ying Lui, Ebroul Izquierdo
ISBI
2004
IEEE
14 years 10 months ago
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Phillip Mlsna, Nikolay Sirakov