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» Matching images more efficiently with local descriptors
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FEGC
2010
307views Biometrics» more  FEGC 2010»
13 years 7 months ago
Visual sentence-phrase-based document representation for effective and efficient content-based image retrieval
Abstract. Having effective and efficient methods to get access to desired images is essential nowadays with the huge amount of digital images. This paper presents an analogy betwee...
Ismail Elsayad, Jean Martinet, Thierry Urruty, Cha...
ICCV
2005
IEEE
14 years 9 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
ECCV
2006
Springer
14 years 9 months ago
EMD-L1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors
We propose a fast algorithm, EMD-L1, for computing the Earth Mover's Distance (EMD) between a pair of histograms. Compared to the original formulation, EMD-L1 has a largely si...
Haibin Ling, Kazunori Okada
DAS
1998
Springer
13 years 11 months ago
Group 4 Compressed Document Matching
Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transm...
Dar-Shyang Lee, Jonathan J. Hull
ACCV
2010
Springer
13 years 2 months ago
Finding Human Poses in Videos Using Concurrent Matching and Segmentation
Abstract. We propose a novel method to detect human poses in videos by concurrently optimizing body part matching and object segmentation. With a single exemplar image, the propose...
Hao Jiang