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» Unifying Keywords and Visual Contents in Image Retrieval
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MM
2003
ACM
84views Multimedia» more  MM 2003»
15 years 2 months ago
Temporal event clustering for digital photo collections
We present similarity-based methods to cluster digital photos by time and image content. The approach is general, unsupervised, and makes minimal assumptions regarding the structu...
Matthew L. Cooper, Jonathan Foote, Andreas Girgens...
SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
15 years 3 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima
DOCENG
2009
ACM
15 years 4 months ago
Deriving image-text document surrogates to optimize cognition
The representation of information collections needs to be optimized for human cognition. While documents often include rich visual components, collections, including personal coll...
Eunyee Koh, Andruid Kerne
MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 3 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu