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IVC
2007
176views more  IVC 2007»
13 years 4 months ago
Kernel-based distance metric learning for content-based image retrieval
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
Hong Chang, Dit-Yan Yeung
SIGIR
2008
ACM
13 years 4 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
IR
2008
13 years 4 months ago
Features for image retrieval: an experimental comparison
An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented. Many of the papers describing new techniques and descri...
Thomas Deselaers, Daniel Keysers, Hermann Ney
FEGC
2010
307views Biometrics» more  FEGC 2010»
13 years 4 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...
DAGM
2010
Springer
13 years 4 months ago
An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval
Content-based image retrieval requires a natural image (e.g, a photo) as query, but the absence of such a query image is usually the reason for a search. An easy way to express the...
Jose M. Saavedra, Benjamin Bustos
MM
2010
ACM
199views Multimedia» more  MM 2010»
13 years 4 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew
GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
13 years 5 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock
CIIA
2009
13 years 5 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi
SYRCODIS
2007
138views Database» more  SYRCODIS 2007»
13 years 5 months ago
VP-tree: Content-Based Image Indexing
Recently, a lot of indexing methods were developed for multidimensional spaces and for image feature vector spaces in particular. This paper introduces an implementation of a vant...
Il'ya Markov
SEBD
2000
112views Database» more  SEBD 2000»
13 years 5 months ago
Correct and efficient evaluation of region-based image search
Abstract. Content-based image retrieval systems allow the user to interactively search image databases looking for those images which are similar to a specified query image. To thi...
Ilaria Bartolini, Marco Patella