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» Retrieving lightly annotated images using image similarities
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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
15 years 10 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
AMR
2007
Springer
139views Multimedia» more  AMR 2007»
15 years 10 months ago
Imagination: Exploiting Link Analysis for Accurate Image Annotation
Abstract. The advent of digital photography calls for effective techniques for managing growing amounts of color images. Systems that only rely on low-level image features are now...
Ilaria Bartolini, Paolo Ciaccia
ECCV
2000
Springer
16 years 6 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
MMSP
2008
IEEE
204views Multimedia» more  MMSP 2008»
15 years 10 months ago
Color restoration for objects of interest using robust image features
—Illumination distortion due to uncontrolled lighting can severely degrade the color appearance of a photo. Frequently, the desired colors for objects in a newly taken query imag...
David M. Chen, Vijay Chandrasekhar, Gabriel Takacs...
ICPR
2004
IEEE
16 years 5 months ago
Spin Images for Retrieval of 3D Objects by Local and Global Similarity
The ever increasing availability of 3D models demands for tools supporting their effective and efficient management. Among these tools, those enabling content-based retrieval play...
Alberto Del Bimbo, Jürgen Assfalg, Pietro Pal...