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MMM
2012
Springer
313views Multimedia» more  MMM 2012»
13 years 11 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
EDM
2010
160views Data Mining» more  EDM 2010»
15 years 5 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
NPAR
2000
ACM
15 years 7 months ago
An algorithm for automatic painterly rendering based on local source image approximation
This paper presents a new method for the automatic painterly rendering. This method synthesizes an impressive image with a handcrafted look from a source image such as a photograp...
Michio Shiraishi, Yasushi Yamaguchi
121
Voted
ICCV
2009
IEEE
16 years 8 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
PCM
2009
Springer
145views Multimedia» more  PCM 2009»
15 years 10 months ago
Non-linear Bi-directional Prediction for Depth Coding
A depth image represents a relative distance from a camera to an object in the three-dimensional (3-D) space and it is widely used as 3-D information in computer vision and compute...
Kwan-Jung Oh, Yo-Sung Ho