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» Feature Selection for Automatic Image Annotation
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BMVC
2010
14 years 9 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
SI3D
2003
ACM
15 years 5 months ago
Interactive image-based rendering using feature globalization
Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user...
Daniel G. Aliaga, Dimah Yanovsky, Thomas A. Funkho...
ISBI
2009
IEEE
15 years 6 months ago
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
Kannan Umadevi Venkataraju, António R. C. P...
ECCV
2010
Springer
15 years 2 months ago
Avoiding confusing features in place recognition
We seek to recognize the place depicted in a query image using a database of “street side” images annotated with geolocation information. This is a challenging task due to chan...
MM
2009
ACM
217views Multimedia» more  MM 2009»
15 years 6 months ago
Label to region by bi-layer sparsity priors
In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-...
Xiaobai Liu, Bin Cheng, Shuicheng Yan, Jinhui Tang...