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» Document Retrieval Using SIFT Image Features
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CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
15 years 4 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
117
Voted
CIKM
2007
Springer
15 years 8 months ago
Latent semantic fusion model for image retrieval and annotation
This paper studies the effect of Latent Semantic Analysis (LSA) on two different tasks: multimedia document retrieval (MDR) and automatic image annotation (AIA). The contributio...
Trong-Ton Pham, Nicolas Maillot, Joo-Hwee Lim, Jea...
122
Voted
ICIP
2008
IEEE
16 years 4 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
118
Voted
ICIP
2002
IEEE
16 years 4 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...
150
Voted
CISST
2004
186views Hardware» more  CISST 2004»
15 years 3 months ago
Colour and Shape Based Image Retrieval for CVPIC Coded Images
Abstract Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image ...
Gerald Schaefer, Simon Lieutaud