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» Boosting Image Retrieval
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ICIP
2004
IEEE
16 years 6 months ago
Enhancing latent semantic analysis video object retrieval with structural information
The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video objects. The proposed method for finding associations betwee...
Benoit Huet, Bernard Mérialdo, Fabrice Souv...
ICCV
2011
IEEE
14 years 4 months ago
Distributed Cosegmentation via Submodular Optimization on Anisotropic Diffusion
The saliency of regions or objects in an image can be significantly boosted if they recur in multiple images. Leveraging this idea, cosegmentation jointly segments common regions...
Gunhee Kim, Eric P. Xing, Li Fei-Fei, Takeo Kanade
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
15 years 10 months ago
The Quality vs. Time Trade-off for Approximate Image Descriptor Search
In recent years, content-based image retrieval has become more and more important in many application areas. Similarity retrieval is inherently a very demanding process, in partic...
Rut Siguroardottir, Björn Þór J&...
ECCV
2010
Springer
15 years 8 months ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
SIGIR
2004
ACM
15 years 9 months ago
Block-based web search
Multiple-topic and varying-length of web pages are two negative factors significantly affecting the performance of web search. In this paper, we explore the use of page segmentati...
Deng Cai, Shipeng Yu, Ji-Rong Wen, Wei-Ying Ma