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» Annotating Images by Mining Image Search Results
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PRL
2006
96views more  PRL 2006»
15 years 6 months ago
Fast codebook search algorithms based on tree-structured vector quantization
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
Chin-Chen Chang, Yu-Chiang Li, Jun-Bin Yeh
ECIR
2004
Springer
15 years 7 months ago
NNk Networks for Content-Based Image Retrieval
Abstract. This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a ...
Daniel Heesch, Stefan M. Rüger
ICCV
2007
IEEE
16 years 8 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
15 years 7 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
ICASSP
2011
IEEE
14 years 10 months ago
Topic-sensitive interactive image object retrieval with noise-proof relevance feedback
One current direction to enhance the search accuracy in visual object retrieval is to reformulate the original query through (pseudo-)relevance feedback, which augments a query wi...
Jen-Hao Hsiao, Henry Chang