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» A Probability Model for Image Annotation
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ICIP
2003
IEEE
16 years 1 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen
MMM
2012
Springer
313views Multimedia» more  MMM 2012»
13 years 7 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 ...
SAC
2005
ACM
15 years 5 months ago
Retrieving lightly annotated images using image similarities
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
Masashi Inoue, Naonori Ueda
CGI
2004
IEEE
15 years 3 months ago
Range Image Registration via Probability Field
This paper presents a powerful variant of the ICP (Iterative Closest Point) algorithm for registering range images using a probability field. The probability field (p-field) repre...
Haitao Zhang, Olaf A. Hall-Holt, Arie E. Kaufman
MM
2004
ACM
219views Multimedia» more  MM 2004»
15 years 5 months ago
Multi-level annotation of natural scenes using dominant image components and semantic concepts
Automatic image annotation is a promising solution to enable semantic image retrieval via keywords. In this paper, we propose a multi-level approach to annotate the semantics of n...
Jianping Fan, Yuli Gao, Hangzai Luo