75,213 research outputs found
ROAM: a Rich Object Appearance Model with Application to Rotoscoping
Rotoscoping, the detailed delineation of scene elements through a video shot,
is a painstaking task of tremendous importance in professional post-production
pipelines. While pixel-wise segmentation techniques can help for this task,
professional rotoscoping tools rely on parametric curves that offer the artists
a much better interactive control on the definition, editing and manipulation
of the segments of interest. Sticking to this prevalent rotoscoping paradigm,
we propose a novel framework to capture and track the visual aspect of an
arbitrary object in a scene, given a first closed outline of this object. This
model combines a collection of local foreground/background appearance models
spread along the outline, a global appearance model of the enclosed object and
a set of distinctive foreground landmarks. The structure of this rich
appearance model allows simple initialization, efficient iterative optimization
with exact minimization at each step, and on-line adaptation in videos. We
demonstrate qualitatively and quantitatively the merit of this framework
through comparisons with tools based on either dynamic segmentation with a
closed curve or pixel-wise binary labelling
First experience in operating the population of the condition databases for the CMS experiment
Reliable population of the condition databases is critical for the correct
operation of the online selection as well as of the offline reconstruction and
analysis of data. We will describe here the system put in place in the CMS
experiment to populate the database and make condition data promptly available
both online for the high-level trigger and offline for reconstruction. The
system, designed for high flexibility to cope with very different data sources,
uses POOL-ORA technology in order to store data in an object format that best
matches the object oriented paradigm for \texttt{C++} programming language used
in the CMS offline software. In order to ensure consistency among the various
subdetectors, a dedicated package, PopCon (Populator of Condition Objects), is
used to store data online. The data are then automatically streamed to the
offline database hence immediately accessible offline worldwide. This mechanism
was intensively used during 2008 in the test-runs with cosmic rays. The
experience of this first months of operation will be discussed in detail.Comment: 15 pages, submitter to JOP, CHEP0
Automatic Intent-Based Secure Service Creation Through a Multilayer SDN Network Orchestration
Growing traffic demands and increasing security awareness are driving the
need for secure services. Current solutions require manual configuration and
deployment based on the customer's requirements. In this work, we present an
architecture for an automatic intent-based provisioning of a secure service in
a multilayer - IP, Ethernet, and optical - network while choosing the
appropriate encryption layer using an open-source software-defined networking
(SDN) orchestrator. The approach is experimentally evaluated in a testbed with
commercial equipment. Results indicate that the processing impact of secure
channel creation on a controller is negligible. As the time for setting up
services over WDM varies between technologies, it needs to be taken into
account in the decision-making process.Comment: Parts of the presented work has received funding from the European
Commission within the H2020 Research and Innovation Programme, under grant
agreeement n.645127, project ACIN
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