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» Dimensionality Reduction for Image Retrieval
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ACISICIS
2007
IEEE
15 years 3 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
APCCAS
2006
IEEE
268views Hardware» more  APCCAS 2006»
15 years 3 months ago
A One-Dimensional Technique for Embedding Data in A JPEG Color Image
—A method of embedding data in a JPEG color image for applications such as authentication of an employee carrying a picture identification card is described. Embedding of data, s...
Kaliappan Gopalan
117
Voted
PAMI
2012
12 years 12 months ago
Aggregating Local Image Descriptors into Compact Codes
— This paper addresses the problem of large-scale image search. Three constraints have to be taken into account: search accuracy, efficiency, and memory usage. We first present...
Hervé Jégou, Florent Perronnin, Matt...
91
Voted
ISNN
2005
Springer
15 years 3 months ago
Content Based Retrieval and Classification of Cultural Relic Images
In this paper we present a novel system for content-based retrieval and classification of cultural relic images. First, the images are normalized to achieve rotation, translation a...
Na Wei, M. Emre Celebi, Guohua Geng
114
Voted
MMM
2011
Springer
251views Multimedia» more  MMM 2011»
14 years 1 months ago
Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval
Abstract. Efficient nearest neighbor (NN) search techniques for highdimensional data are crucial to content-based image retrieval (CBIR). Traditional data structures (e.g., kd-tree...
Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Y...