Publication
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances
Publications associées (63)
Automatic quality assessment in structural brain magnetic resonance imaging
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Quality assessment of MRI is of great importance to derive reliable diagnostic information. As automated quantitative image analysis is being increasingly used in routine, automated measures of quality are needed. Based on a single magnitude image, we prop ...
2009Co-occurrence Models for Image Annotation and Retrieval
We present two models for content-based automatic image annotation and retrieval in web image repositories, based on the co-occurrence of tags and visual features in the images. In particular, we show how additional measures can be taken to address the noi ...
Idiap2009Image Summaries using Database Saliency
Pascal Fua, Sabine Süsstrunk, Radhakrishna Achanta, Appu Shaji
It is useful to have a small set of representative images from a database of thousands of images to summarize its content. There are two key aspects of such image summaries: how to generate them and how to present them. We address both issues. We extend th ...
2009A collaborative approach to image segmentation and behavior recognition from image sequences
Visual behavior recognition is currently a highly active research area. This is due both to the scientific challenge posed by the complexity of the task, and to the growing interest in its applications, such as automated visual surveillance, human-computer ...
EPFL2008Learning the structure of image collections with latent aspect models
The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...
École Polytechnique Fédérale de Lausanne2007Learning the structure of image collections with latent aspect models
The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...
IDIAP2007Learning the structure of image collections with latent aspect models
The approach to indexing an image collection depends on the type of data to organize. Satellite images are likely to be searched with latitude and longitude coordinates, medical images are often searched with an image example that serves as a visual query, ...
EPFL2007Scene image classification and segmentation with quantized local descriptors and latent aspect modeling
The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...
École Polytechnique Fédérale de Lausanne2007Scene image classification and segmentation with quantized local descriptors and latent aspect modeling
The ever increasing number of digital images in both public and private collections urges on the need for generic image content analysis systems. These systems need to be capable to capture the content of images from both scenes and objects, in a compact w ...
EPFL2007Multimodal Evaluation for Medical Image Segmentation
This paper is a joint effort between five institutions that introduces several novel similarity measures and combines them to carry out a multimodal segmentation evaluation. The new similarity measures proposed are based on the location and the intensity v ...
Springer Berlin / Heidelberg2007