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» Image Compression using Object-Based Regions of Interest
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ICCV
2007
IEEE
14 years 10 months ago
Multi-Object Tracking Through Clutter Using Graph Cuts
The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar ...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
IWDW
2005
Springer
14 years 2 months ago
Towards Multi-class Blind Steganalyzer for JPEG Images
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
Tomás Pevný, Jessica J. Fridrich
SPIC
2010
13 years 3 months ago
Attention-based video streaming
This paper presents a complete framework for attention-based video streaming for low bandwidth networks. First, motivated by the fovea-periphery distinction of biological vision s...
Çagatay Dikici, H. Isil Bozma
CVPR
2008
IEEE
14 years 10 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
ICPR
2010
IEEE
14 years 3 months ago
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps
This paper investigates segmentation-based image descriptors for object category recognition. In contrast to commonly used interest points the proposed descriptors are extracted f...
Piotr Koniusz, Krystian Mikolajczyk