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» Measuring and Predicting Object Importance
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WSDM
2009
ACM
161views Data Mining» more  WSDM 2009»
15 years 6 months ago
Predicting the readability of short web summaries
Readability is a crucial presentation attribute that web summarization algorithms consider while generating a querybaised web summary. Readability quality also forms an important ...
Tapas Kanungo, David Orr
AVSS
2009
IEEE
15 years 8 days ago
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...
Carlos R. del-Blanco, Narciso N. García, Lu...
WACV
2005
IEEE
15 years 4 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
PAMI
2012
13 years 1 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
JTRES
2010
ACM
14 years 11 months ago
WCET driven design space exploration of an object cache
In order to guarantee that real-time systems meet their timing specification, static execution time bounds need to be calculated. Not considering execution time predictability led...
Benedikt Huber, Wolfgang Puffitsch, Martin Schoebe...