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» Color Features Performance Comparison for Image Retrieval
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110
Voted
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 9 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
166
Voted
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 8 months 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
136
Voted
CVPR
1999
IEEE
16 years 4 months ago
The Customized-Queries Approach to CBIR Using EM
This paper makes two contributions. The first contribution is an approach called the "customized-queries" approach (CQA) to content-based image retrieval. The second is ...
Jennifer G. Dy, Carla E. Brodley, Avinash C. Kak, ...
124
Voted
ICIP
2001
IEEE
16 years 4 months ago
Similarity matching of arbitrarily shaped video by still shape features and shape deformations
The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video...
Berna Erol, Faouzi Kossentini
GRAPHITE
2005
ACM
15 years 8 months ago
Drawing the real
In this paper we present an algorithm to automatically produce artistic drawings from stereo image pairs. The input to the algorithm is a natural scene, along with a user-defined...
Danijela Markovic, Margrit Gelautz