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» Image Categorization Using Local Probabilistic Descriptors
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CVPR
2011
IEEE
13 years 3 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
DRM
2004
Springer
14 years 1 months ago
Tamper detection and localization for categorical data using fragile watermarks
Today, database relations are widely used and distributed over the Internet. Since these data can be easily tampered with, it is critical to ensure the integrity of these data. In...
Yingjiu Li, Huiping Guo, Sushil Jajodia
ICPR
2010
IEEE
13 years 5 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
ECCV
2008
Springer
14 years 9 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
SCVMA
2004
Springer
14 years 1 months ago
Local Descriptors for Spatio-temporal Recognition
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
Ivan Laptev, Tony Lindeberg