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» Estimating Missing Features to Improve Multimedia Retrieval
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BCS
2008
15 years 3 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 8 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
MMS
2008
15 years 1 months ago
Semantic interactive image retrieval combining visual and conceptual content description
We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
122
Voted
MMM
2005
Springer
146views Multimedia» more  MMM 2005»
15 years 7 months ago
Retrieval of News Video Using Video Sequence Matching
In this paper, we propose a new algorithm to find video clips with different temporal durations and some spatial variations. We adopt a longest common subsequence (LCS) matching t...
Young-tae Kim, Tat-Seng Chua
147
Voted
SAMT
2007
Springer
203views Multimedia» more  SAMT 2007»
15 years 8 months ago
A Generic Framework for Semantic Medical Image Retrieval
Performing simple keyword-based search has long been the only way to access information. But for a truly comprehensive search on multimedia data, this approach is no longer sucien...
Manuel Möller, Michael Sintek