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» Using Maximum Entropy for Automatic Image Annotation
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ECCV
2004
Springer
14 years 9 months ago
A Correlation-Based Approach to Robust Point Set Registration
Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel corre...
Yanghai Tsin, Takeo Kanade
PR
2011
12 years 10 months ago
Hierarchical annotation of medical images
In this paper, we describe an approach for the automatic medical annotation task of the 2008 CLEF cross-language image retrieval campaign (ImageCLEF). The data comprise 12076 full...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
CLIN
2004
13 years 9 months ago
Automatic Summarization of Meeting Data: A Feasibility Study
The disclosure of audio-visual meeting recordings is a new challenging domain studied by several large scale research projects in Europe and the US. Automatic meeting summarizatio...
Anne Hendrik Buist, Wessel Kraaij, Stephan Raaijma...
TRECVID
2008
13 years 9 months ago
Learning TRECVID'08 High-Level Features from YouTube
Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
Adrian Ulges, Christian Schulze, Markus Koch, Thom...
CVPR
2004
IEEE
14 years 10 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko